Go ML Bindings ML Frameworks
Language bindings and wrappers for running machine learning inference in Go, including TensorFlow, MXNet, Caffe2, and other frameworks. Does NOT include Go implementations of ML algorithms from scratch, NLP tools, or general Go utilities.
There are 222 go ml bindings frameworks tracked. 1 score above 70 (verified tier). The highest-rated is SPFlow/SPFlow at 71/100 with 310 stars and 1,038 monthly downloads. 2 of the top 10 are actively maintained.
Get all 222 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks |
|
Verified |
| 2 |
montanaflynn/stats
A well tested and comprehensive Golang statistics library package with no... |
|
Established |
| 3 |
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go |
|
Established |
| 4 |
mattn/go-tflite
Go binding for TensorFlow Lite |
|
Emerging |
| 5 |
gomlx/onnx-gomlx
ONNX / GoMLX Conversion |
|
Emerging |
| 6 |
james-bowman/sparse
Sparse matrix formats for linear algebra supporting scientific and machine... |
|
Emerging |
| 7 |
gorgonia/gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. |
|
Emerging |
| 8 |
gopherdata/gophernotes
The Go kernel for Jupyter notebooks and nteract. |
|
Emerging |
| 9 |
NVIDIA/gpu-rest-engine
A REST API for Caffe using Docker and Go |
|
Emerging |
| 10 |
luk-ai/lukai
Luk.ai Clients - Federated Machine Learning for Everyone! |
|
Emerging |
| 11 |
goldenrecursion/godel
Godel is Golden's open-source Python SDK that will provide developers and... |
|
Emerging |
| 12 |
dmitryikh/leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting... |
|
Emerging |
| 13 |
HappyHackingSpace/dit
HTML page, form and field type classifier using ML (LogReg + CRF) |
|
Emerging |
| 14 |
emer/leabra
Go implementation of Leabra algorithm for biologically-based models of... |
|
Emerging |
| 15 |
emoss08/Trenova
An AI-driven asset based Transportation Management System |
|
Emerging |
| 16 |
itsubaki/autograd
Automatic differentiation library for Go |
|
Emerging |
| 17 |
IEEE-VIT/pykitzoid
This is a repository containing a package coded in Go language, with the... |
|
Emerging |
| 18 |
kakao/n2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast... |
|
Emerging |
| 19 |
asafschers/goscore
Go Scoring API for PMML |
|
Emerging |
| 20 |
zerfoo/zerfoo
A modular, accelerator-ready machine learning framework built in Go that... |
|
Emerging |
| 21 |
patrikeh/go-deep
Artificial Neural Network |
|
Emerging |
| 22 |
cdipaolo/goml
On-line Machine Learning in Go (and so much more) |
|
Emerging |
| 23 |
project-flogo/ml
Activities and examples for Machine Learning with Flogo |
|
Emerging |
| 24 |
Unity-Technologies/go-xgboost
XGBoost bindings for golang |
|
Emerging |
| 25 |
orktes/go-torch
LibTorch (PyTorch) bindings for Golang |
|
Emerging |
| 26 |
oramasearch/onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go... |
|
Emerging |
| 27 |
dwhitena/gc-ml
Go ML/AI Training Materials for GopherCon 2019 |
|
Emerging |
| 28 |
Fontinalis/fonet
fonet is a deep neural network package for Go. |
|
Emerging |
| 29 |
born-ml/born
Production-ready ML framework for Go with zero dependencies. Train and... |
|
Emerging |
| 30 |
lwch/gotorch
golang libtorch binding |
|
Emerging |
| 31 |
gyuho/dplearn
Learn Deep Learning The Hard Way |
|
Emerging |
| 32 |
danaugrs/go-tsne
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go |
|
Emerging |
| 33 |
songtianyi/go-mxnet-predictor
go binding for mxnet c_predict_api to do inference with pre-trained model |
|
Emerging |
| 34 |
sahandsafizadeh/qeep
Deep Learning framework in Go with Tensors, AutoGrad, and GPU acceleration |
|
Emerging |
| 35 |
sugarme/gotch
Go binding for Pytorch C++ API (libtorch) |
|
Emerging |
| 36 |
yunabe/lgo
Interactive Go programming with Jupyter |
|
Emerging |
| 37 |
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go |
|
Emerging |
| 38 |
aunum/gold
Reinforcement Learning in Go |
|
Emerging |
| 39 |
dwhitena/gophernet
A simple from-scratch neural net written in Go |
|
Emerging |
| 40 |
nlpodyssey/goslide
SLIDE (Sub-LInear Deep learning Engine) written in Go |
|
Emerging |
| 41 |
e-XpertSolutions/go-cluster
k-modes and k-prototypes clustering algorithms implementation in Go |
|
Emerging |
| 42 |
mpraski/clusters
Cluster analysis library for Golang |
|
Emerging |
| 43 |
e-XpertSolutions/go-iforest
Isolation forest implementation in Go |
|
Emerging |
| 44 |
mirecl/catboost-cgo
CatBoost a fast, scalable, high performance Gradient Boosting on Decision... |
|
Emerging |
| 45 |
wamuir/graft
Go language bindings to the TensorFlow C API |
|
Emerging |
| 46 |
dereklstinson/gocudnn
Go Bindings for cudnn and other cuda pacakges. |
|
Emerging |
| 47 |
aunum/goro
A High-level Machine Learning Library for Go |
|
Emerging |
| 48 |
ReconfigureIO/brain
This repo contains Go implementation and corresponding APIs for acceleration... |
|
Emerging |
| 49 |
tsawler/go-metal
A high-performance deep learning library for Go that leverages Apple's Metal... |
|
Emerging |
| 50 |
RenatoGeh/gospn
A free, open-source inference and learning library for Sum-Product Networks (SPN) |
|
Emerging |
| 51 |
LdDl/cnns
Convolutional Neural Networks in Go |
|
Emerging |
| 52 |
dathoangnd/gonet
Neural Network for Go. |
|
Emerging |
| 53 |
therfoo/therfoo
An embedded deep learning library for Go. |
|
Emerging |
| 54 |
jat001/gotorch
PyTorch in Go, using LibTorch. |
|
Emerging |
| 55 |
kujenga/goml
Experimental ML implementations in Go |
|
Emerging |
| 56 |
nikolaydubina/go-featureprocessing
🔥 Fast, simple sklearn-like feature processing for Go |
|
Emerging |
| 57 |
surenderthakran/gomind
A simplistic Neural Network Library in Go |
|
Experimental |
| 58 |
causalgo/lasso
⚡ Parallel LASSO Regression in Go | Efficient feature selection with L1... |
|
Experimental |
| 59 |
Xamber/Varis
Golang Neural Network |
|
Experimental |
| 60 |
kuroko1t/gdeep
simple golang deep learning framework |
|
Experimental |
| 61 |
rai-project/go-mxnet
Go binding to MXNet C API to do inference with pre-trained model in Go |
|
Experimental |
| 62 |
florianl/matf
Library to extract information from MAT-files into golang structures |
|
Experimental |
| 63 |
milosgajdos/gopfield
Hopfield neural networks in Go |
|
Experimental |
| 64 |
skyhookml/skyhookml
SkyhookML is an easy-to-use web platform for computer vision. |
|
Experimental |
| 65 |
rai-project/mxnet
MXNet agent for MLModelScope |
|
Experimental |
| 66 |
rai-project/dlframework
Common code for all deep learning predictors used by MLModelScope |
|
Experimental |
| 67 |
minio/go-cv
Golang wrapper for https://github.com/ermig1979/Simd |
|
Experimental |
| 68 |
rai-project/tensorflow
TensorFlow agent for MLModelScope |
|
Experimental |
| 69 |
zupzup/ml-in-go-examples
Examples for my Blog-Series on Machine Learning in Go |
|
Experimental |
| 70 |
bourbaki/catboost-go
Catboost Go Wrapper |
|
Experimental |
| 71 |
kuroko1t/gotorch
go binding for pytorch |
|
Experimental |
| 72 |
itsubaki/neu
Deep Learning framework for Go from scratch |
|
Experimental |
| 73 |
ubccr/terf
Go library for reading/writing TensorFlow TFRecords file format |
|
Experimental |
| 74 |
infergo-ml/infergo
mirror of Infergo repository |
|
Experimental |
| 75 |
lazywei/lineargo
LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification |
|
Experimental |
| 76 |
milosgajdos/ncs
Movidius Neural Compute Stick V2.0 API Go bindings |
|
Experimental |
| 77 |
sgrodriguez/ddt
Golang Dynamic Decision Tree |
|
Experimental |
| 78 |
oharlem/clarifai-client-go
Clarifai client for Go |
|
Experimental |
| 79 |
lafin/fast
Features from Accelerated Segment Test (FAST) |
|
Experimental |
| 80 |
brannondorsey/go-runway
A small Go module for interfacing with RunwayML |
|
Experimental |
| 81 |
Plorenzo/goAdaline
Simple implementation of an Adaline neuron in Go. |
|
Experimental |
| 82 |
jolibrain/godd
🧠 DeepDetect package for easy integration in any Go project |
|
Experimental |
| 83 |
CodingBeard/tfkg
Create, train, and save Tensorflow Keras models all in Golang |
|
Experimental |
| 84 |
heupr/core
The legacy codebase for the Heupr application |
|
Experimental |
| 85 |
OGFris/GoStats
GoStats is a go library for math statistics mostly used in ML domains, it... |
|
Experimental |
| 86 |
lafin/fast-brief
Example of usage |
|
Experimental |
| 87 |
TrizlyBear/PWS
🖼️ Image Classification project for school |
|
Experimental |
| 88 |
lafin/brief
Binary Robust Independent Elementary Features (BRIEF) |
|
Experimental |
| 89 |
pointlander/gradient
Reverse Mode Automatic Differentiation with Continuation Passing Style |
|
Experimental |
| 90 |
gokadin/ai-simplest-network
The simplest form of an artificial neural network explained and demonstrated. |
|
Experimental |
| 91 |
syou6162/go-active-learning
go-active-learning is a command line annotation tool for binary... |
|
Experimental |
| 92 |
ctava/tfcgo
quickly get up and running creating machine learning programs in go using... |
|
Experimental |
| 93 |
getumen/go-treelite
treelite runtime binding in Go |
|
Experimental |
| 94 |
YadaYuki/deeplearning-golang
Deep Leaning by Golang 👻 |
|
Experimental |
| 95 |
kozistr/catboost-server-rs
CatBoost server in Rust + gRPC |
|
Experimental |
| 96 |
barnjamin/randomforest
Simple random forest |
|
Experimental |
| 97 |
Peter-Lankton/machine-learning-with-golang
Inspired by machine learning with python. In this repo my TikTok data is... |
|
Experimental |
| 98 |
pforemski/go-kdtree
A kd-tree implementation in Golang |
|
Experimental |
| 99 |
pforemski/gouda
Golang Utilities for Data Analysis |
|
Experimental |
| 100 |
bureaucratic-labs/crfsuite
Go bindings for CRFSuite |
|
Experimental |
| 101 |
amikos-tech/pure-onnx
Pure-go ONNX Go binding |
|
Experimental |
| 102 |
RedisAI/redisai-go
A Golang client for RedisAI |
|
Experimental |
| 103 |
justincpresley/go-bareml
go-bareml: A bare-bones, from scratch, no external dependency, entirely... |
|
Experimental |
| 104 |
thepabloaguilar/floc
A floc simulator wrapper over a Go implementation |
|
Experimental |
| 105 |
simplyYan/GalaktaGlare
A broad, easy and fast framework for machine/deep learning in Go. |
|
Experimental |
| 106 |
eraclitux/learn
Machine learning for Go [WIP] |
|
Experimental |
| 107 |
w0rng/gofeat
Embedded feature store for Go |
|
Experimental |
| 108 |
GzuPark/ml_with_go
Go를 활용한 머신 러닝 책을 docker 환경으로 구성하고, pachyderm을 사용하여 pipeline 구축을 실습한다. |
|
Experimental |
| 109 |
rai-project/caffe
Caffe agent for MLModelScope |
|
Experimental |
| 110 |
Satishdoyal/learning-golang
Learning Golang... |
|
Experimental |
| 111 |
scootpl/go-tensorflow-audio-example
An example of using a neural network model (LSTM) with the Tensorflow Go API. |
|
Experimental |
| 112 |
tivvit/yap
Yet Another Pipeline |
|
Experimental |
| 113 |
cyrildever/neural-networks-and-deep-learning-in-golang
Code adaptation of "Neural Networks and Deep Learning" book in Go |
|
Experimental |
| 114 |
unweave/unweave-v1
Supabase for Machine Learning |
|
Experimental |
| 115 |
sjkaliski/infer
🔮 Use TensorFlow models in Go to evaluate Images (and more soon!) |
|
Experimental |
| 116 |
kamil5b/knnGo
I created K-Nearest Neighbor Algorithm using Go language. Initially, this... |
|
Experimental |
| 117 |
Andrew-peng/go-dalle2
Unofficial Dalle-2 golang client library |
|
Experimental |
| 118 |
bleokosalp66/deep-learning-go
Practice project implementing deep learning techniques using Go. |
|
Experimental |
| 119 |
FootprintAI/go-nativeml
Go CGO bindings for native ML inference frameworks with prebuilt static libraries |
|
Experimental |
| 120 |
Xenios91/Byte-Chomp
A Golang tool for obtaining data on Golang binaries in csv format |
|
Experimental |
| 121 |
PaluMacil/gophernet
a multilayer neural net written in go |
|
Experimental |
| 122 |
nlpodyssey/gomaddness
Multiply-ADDitioN-lESS in Go. |
|
Experimental |
| 123 |
caguiclajmg/tensordock-cli
TensorDock CLI Client |
|
Experimental |
| 124 |
cyrildever/reinforcement-learning-in-golang
Code for the algorithms of the "Reinforcement Learning" book |
|
Experimental |
| 125 |
owulveryck/gorgonnx
Onnx To Gorgonia Unmarshaler (Test) |
|
Experimental |
| 126 |
AssetRipper/AssetRipper.Bindings.LibTorchSharp
Alternate bindings for LibTorchSharp |
|
Experimental |
| 127 |
NoahSchiro/minigrad
A minimal implementation of neural networks in Go |
|
Experimental |
| 128 |
unixpickle/anynet
Framework for artificial neural networks |
|
Experimental |
| 129 |
vseledkin/gortex
Golang ML package |
|
Experimental |
| 130 |
ar90n/kmeaaaaans
Simple kmeans clustering algorithm implementation with pure Go |
|
Experimental |
| 131 |
Godwinh19/gotorch
Pytorch - Python + Golang = Gotorch |
|
Experimental |
| 132 |
evalphobia/go-datarobot
datarobot supporting app and api client |
|
Experimental |
| 133 |
breskos/gopher-learn
Golang neural network - fast and easy classification and regression. |
|
Experimental |
| 134 |
ThakurMayank5/gonn
An AI framework for Neural Networks written purely in go with no dependencies |
|
Experimental |
| 135 |
mlhher/pure-go-sgd
A lightweight, bare-metal Go implementation of Stochastic Gradient Descent... |
|
Experimental |
| 136 |
adrian3ka/go-learn-ai
Machine Learning Collection For Golang |
|
Experimental |
| 137 |
ranon-rat/neural-mines-sweeper
Im back bitches |
|
Experimental |
| 138 |
uffy/mnist_example
使用神经网络识别手写数字 (MNIST 数据集) |
|
Experimental |
| 139 |
MishraShivendra/golang_math
Machine learning functions written in goLang: |
|
Experimental |
| 140 |
samber/dagobert
A simple Go client for the clip-as-service server |
|
Experimental |
| 141 |
FriedShrimpBBQ/model2wasm
Convert your favourite machine learning models to WASM |
|
Experimental |
| 142 |
unixpickle/imagenet
Fetch and use ImageNet images |
|
Experimental |
| 143 |
copilotoParaterminarlachamba/go-task-processing-engine
🚀 Master concurrent task processing in Go with TaskForge, featuring worker... |
|
Experimental |
| 144 |
gregl83/go-binary-classify-nn
🤖🧠 GoLang Binary Classification Neural Network |
|
Experimental |
| 145 |
giridharanSSK/GordOPK
🛠️ Connect OpenKore to the Ragnarök Online LATAM client easily with this... |
|
Experimental |
| 146 |
lwch/tnn
go版本机器学习框架 |
|
Experimental |
| 147 |
theo-keyzer/ml-model-codegen
Translate high-level model definitions into highly-optimized,... |
|
Experimental |
| 148 |
zasper-io/zasper-benchmark
Benchmarking Zasper v/s JupyterLab (Jupyter Server) |
|
Experimental |
| 149 |
infergo-ml/infergo-studies
Mirror of bitbucket infergo-studies repository |
|
Experimental |
| 150 |
recoilme/flyml
perfomant mashine learning libraryes in Go |
|
Experimental |
| 151 |
wal99d/logistic-regression
Golang implementation of Logistic Regression from scratch |
|
Experimental |
| 152 |
nikolaydubina/go-ml-benchmarks
⏱ Benchmarks of machine learning inference for Go |
|
Experimental |
| 153 |
godpeny/pages
Godpeny Github Page :) |
|
Experimental |
| 154 |
dustin-decker/featuremill
general-purpose fast, stateless, and deterministic feature extractor written... |
|
Experimental |
| 155 |
aryanmaurya1/rocketc
Simple library for CSV data manipulation and mathematical computation. |
|
Experimental |
| 156 |
Asereardscon3/Distributed-Data-Lake-ML
A scalable data lake solution implemented in Go, specifically designed for... |
|
Experimental |
| 157 |
mattn/gorgonia-fizzbuzz
FizzBuzz on Gorgonia |
|
Experimental |
| 158 |
harungurubudi/rolade
Minimal neural network toolkit in golang |
|
Experimental |
| 159 |
telalabs/kit
A Go/Rust dual-language package for creating and administering toolkits and... |
|
Experimental |
| 160 |
hiro4bbh/sticker
Package sticker provides a framework for multi-label classification. |
|
Experimental |
| 161 |
telalabs/solkit
A package for building and managing function calling tools and toolkits for... |
|
Experimental |
| 162 |
qvantel/nerd
Machine learning as a (restful) service |
|
Experimental |
| 163 |
Agurato/goceptron
Multi-Layer Perceptron library in Golang & example using the MNIST Image Dataset |
|
Experimental |
| 164 |
orktes/influunt
Dataflow programming for Golang and Python |
|
Experimental |
| 165 |
DreamingRaven/darklantern
Go (Golang) encrypted deep learning library; Fully homomorphic encryption... |
|
Experimental |
| 166 |
nytopop/gohtm
An implementation of the HTM machine learning algorithm. |
|
Experimental |
| 167 |
pilillo/mastro
Data and Feature Catalogue in Go |
|
Experimental |
| 168 |
HugoSmits86/gosee
Toy neural network for image recognizing from scratch in less than 200 lines of code. |
|
Experimental |
| 169 |
bsm/mlmetrics
Common metrics for evaluation of machine learning models |
|
Experimental |
| 170 |
djeday123/gotorch
PyTorch-inspired deep learning framework in Go with CUDA GPU backend |
|
Experimental |
| 171 |
k4yt3x/ollamem
Accurately estimate the memory required to run GGUF models and the maximum... |
|
Experimental |
| 172 |
DarkStarStrix/NexaToolKit
All in one Toolkit for ML |
|
Experimental |
| 173 |
tsawler/gometal
A Go module designed to leverage the power of Apple's GPUs for machines... |
|
Experimental |
| 174 |
dmarkham/f1
Computes F1 Scores |
|
Experimental |
| 175 |
michurin/milisp
Multiple implementations (Golang and Python) of LISP-like language to share... |
|
Experimental |
| 176 |
mraufc/neural
Simple Neural Network implementation in Go |
|
Experimental |
| 177 |
gerardabello/weight
Neural network library |
|
Experimental |
| 178 |
pointlander/prism
an unsupervised clustering and nearest neighbor search algorithm |
|
Experimental |
| 179 |
heupr/heupr
The codebase for the Heupr application :tada: |
|
Experimental |
| 180 |
NanoNets/nanonets-go
Code samples in golang for nanonets API |
|
Experimental |
| 181 |
acatovic/gonet
Gonet implements a simple fully-connected neural network. It uses a small... |
|
Experimental |
| 182 |
farrelmahaztra/micrograd-go
Implementation of Andrej Karpathy's micrograd in Go |
|
Experimental |
| 183 |
elaheh-dastan/newborn
A library for ML algorithms |
|
Experimental |
| 184 |
wlattner/rf
Random Forest |
|
Experimental |
| 185 |
montanaflynn/simple-go-perceptron
A simple perceptron in Golang |
|
Experimental |
| 186 |
DverkaSK/arch-prediction-backend
ДПП ИИ и МО ЦК 2024/2025 |
|
Experimental |
| 187 |
tma15/gonline
A Go implementation of online machine learning algorithms |
|
Experimental |
| 188 |
dereklstinson/nccl
golang wrapper for nccl |
|
Experimental |
| 189 |
opennetsys/c3-sdk-go-example-image-recognition
An example container that performs image recognition written in Go |
|
Experimental |
| 190 |
tsurubee/tscluster
time-series clustering implemented in Go |
|
Experimental |
| 191 |
kennyworkman/ligand
train on the cloud with one line of code |
|
Experimental |
| 192 |
markdouthwaite/lingo
A package for quickly deploying Scikit-Learn Linear Models in Go. |
|
Experimental |
| 193 |
christian-nickerson/fiber-endpoints
A test project for experimenting with a GoLang-based machine learning model... |
|
Experimental |
| 194 |
wbrc/neuralnet
Create simple neural networks in Go |
|
Experimental |
| 195 |
volker48/touchstone
Machine Learning Metrics |
|
Experimental |
| 196 |
olimci/autograd
autograd machine learning library written from scratch in go |
|
Experimental |
| 197 |
sschrs/GoGDRegressor
Gradient Descent Regressor for Go Programming Language |
|
Experimental |
| 198 |
biraj21/neural-networks-from-scratch
Neural Networks from scratch in Go. |
|
Experimental |
| 199 |
hiro4bbh/confeito
Package confeito provides fast ensemble tree inference |
|
Experimental |
| 200 |
velumlabs/kit
A Go/Rust dual-language package for creating and administering toolkits and... |
|
Experimental |
| 201 |
nixhantb/neuroflash
A library for Data manipulation , Data Engineering and machine learning... |
|
Experimental |
| 202 |
joeychilson/infergo
A lightweight, easy-to-use library for running machine learning models in Go. |
|
Experimental |
| 203 |
pointlander/inception
Compressible neural networks with faster convergence |
|
Experimental |
| 204 |
typio/gonet
Primitive ML framework in Go, inspired by Daniel Shiffman |
|
Experimental |
| 205 |
thadUra/Go-ML
Machine learning packages in Go tested with different environments and datasets |
|
Experimental |
| 206 |
kamil5b/GoNeuralNetwork
Neural Network using pure Go |
|
Experimental |
| 207 |
pointlander/onward
Unsupervised feed forward layer learning with a single pass. |
|
Experimental |
| 208 |
JosephJindrich/Deep-Neural-Network-Trainer
This is open source software that you can generate a trained Deep Neural Network. |
|
Experimental |
| 209 |
austinmhorn/golang-slnn
Single Layer Neural Network written in Go |
|
Experimental |
| 210 |
pcolladosoto/mlp-go
A MLP implemented in Go |
|
Experimental |
| 211 |
MagnusChase03/GoML
A simple and fast feed forward neural network library. |
|
Experimental |
| 212 |
hoenirvili/knn
Knn algorithm proof of concept |
|
Experimental |
| 213 |
gemmyboy/nlp
Natural Language Process |
|
Experimental |
| 214 |
asggo/ml
Go libraries for machine learning |
|
Experimental |
| 215 |
phoebetronic/getlin
A Golang implementation of the Tsetlin Machine. |
|
Experimental |
| 216 |
RexG/MachineLearningCLI
This is a simple Machine Learning CLI/command line tool, which you can use... |
|
Experimental |
| 217 |
I159/go_deep
Neural network framework on pure Go |
|
Experimental |
| 218 |
lon9/caffe2go
Evaluate caffemodel in Go |
|
Experimental |
| 219 |
jacquayj/irods-ugm-2017
Resources for iRODS UGM 2017 talk/demo |
|
Experimental |
| 220 |
kjahan/goclustering
Clustering |
|
Experimental |
| 221 |
sameer/ml
Machine learning algorithm implementations |
|
Experimental |
| 222 |
rom1mouret/ml-essentials
dataframe library for machine learning |
|
Experimental |