Paper Implementation Collections ML Frameworks

Collections of machine learning research paper implementations across various frameworks and domains. Includes repositories that compile multiple paper implementations (especially foundational CV/DL papers) with clean, educational code. Does NOT include single-paper implementations, paper summaries without code, domain-specific applications, or ML frameworks themselves.

There are 68 paper implementation collections frameworks tracked. 5 score above 50 (established tier). The highest-rated is MaximeVandegar/Papers-in-100-Lines-of-Code at 59/100 with 2,618 stars. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	MaximeVandegar/Papers-in-100-Lines-of-Code Implementation of papers in 100 lines of code.	59	Established	2,618	Python
2	miguelvr/dropblock Implementation of DropBlock: A regularization method for convolutional...	58	Established	594	Python
3	OML-Team/open-metric-learning Metric learning and retrieval pipelines, models and zoo.	58	Established	985	Python
4	kk7nc/RMDL RMDL: Random Multimodel Deep Learning for Classification	56	Established	429	Python
5	PaddlePaddle/models Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech,...	51	Established	6,946	Python
6	archinetai/surgeon-pytorch A library to inspect and extract intermediate layers of PyTorch models.	46	Emerging	473	Python
7	DLTK/DLTK Deep Learning Toolkit for Medical Image Analysis	44	Emerging	1,452	Python
8	dasguptar/treelstm.pytorch Tree LSTM implementation in PyTorch	44	Emerging	551	Python
9	PaddlePaddle/Research novel deep learning research works with PaddlePaddle	44	Emerging	1,751	Python
10	AI4SIM/model-collection This project contains a collection of deep learning models developed by the...	43	Emerging	16	Python
11	hi-abhi/tensorflow-value-iteration-networks TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper	43	Emerging	552	Python
12	aurelio-amerio/ConcreteDropout Concrete Dropout implementation for Tensorflow 2.0 and PyTorch	42	Emerging	14	Python
13	BrianPulfer/PapersReimplementations Personal short implementations of Machine Learning papers	41	Emerging	250	Jupyter Notebook
14	Confusezius/Deep-Metric-Learning-Baselines PyTorch Implementation for Deep Metric Learning Pipelines	41	Emerging	576	Python
15	asappresearch/sru Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)	41	Emerging	2,112	Python
16	EmilienDupont/neural-processes Pytorch implementation of Neural Processes for functions and images :fireworks:	41	Emerging	235	Jupyter Notebook
17	hcnoh/knowledge-tracing-collection-pytorch A collection of Knowledge Tracing model implementations with PyTorch	40	Emerging	181	Python
18	clement-bonnet/lpn Latent Program Network (from the "Searching Latent Program Spaces" paper)	38	Emerging	108	Jupyter Notebook
19	DLTK/models DLTK Model Zoo	38	Emerging	113	Jupyter Notebook
20	gitE0Z9/pytorch-implementations Deep learning models implemented in PyTorch	37	Emerging	53	Jupyter Notebook
21	jhagnberger/smart Official PyTorch implementation of the SMART model.	37	Emerging	10	Python
22	sunshineatnoon/Paper-Implementations Use PyTorch to implement some classic frameworks	36	Emerging	622	Python
23	matajoh/fourier_feature_nets Supplemental learning materials for "Fourier Feature Networks and Neural...	36	Emerging	179	Python
24	archinetai/smart-pytorch PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural...	35	Emerging	62	Python
25	carlsummer/python_developer_tools 论文复现，多机多卡	34	Emerging	49	HTML
26	Atcold/pytorch-CortexNet PyTorch implementation of the CortexNet predictive model	34	Emerging	368	Jupyter Notebook
27	cankocagil/Cognitive-Computational-Modelling-for-Spatio-Temporal-fMRI-in-Ventral-Temporal-Cortex Multi-voxel pattern analyses methods based on ML & DL to decode the...	33	Emerging	22	Jupyter Notebook
28	qiyuantian/DeepDTI DeepDTI Tutorial	33	Emerging	33	HTML
29	fmi-basel/latent-predictive-learning Code to accompany our paper "The combination of Hebbian and predictive...	32	Emerging	31	Jupyter Notebook
30	waldo-vision/models Repository for model development and training	29	Experimental	14	Python
31	noisrucer/deep-learning-papers DL research paper implementations with PyTorch	27	Experimental	64	Jupyter Notebook
32	XinshaoAmosWang/DeepCriticalLearning Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.	27	Experimental	31	Python
33	juno-hwang/juno-dkt Scikit-learn style implementation of Deep Knowledge Tracing models based on pytorch.	26	Experimental	15	Jupyter Notebook
34	LinkAnJarad/Torch-Modules-Compilation A compilation of implementations of various ML papers, especially in computer vision.	26	Experimental	8	Python
35	qiyuantian/SDnDTI SDnDTI Tutorial	26	Experimental	11	HTML
36	edithvillegas/activation-extractor 🐍🔥 Extracting outputs from intermediate layers of any Pytorch model	25	Experimental	3	Jupyter Notebook
37	jonychoi/Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary of paper, End to End Code...	25	Experimental	5	Jupyter Notebook
38	anshumantekriwal/papers Revolutionary Deep Learning Models - All Implemented In PyTorch	25	Experimental	13	—
39	vlongle/articulate-anything [ICLR 2025] Official implementation of Articulate-Anything	24	Experimental	176	HTML
40	aleksa-sukovic/microai Minimal implementations ⚒️ of influential papers 📜 in the field of machine...	22	Experimental	1	Jupyter Notebook
41	phrasenmaeher/cka Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"	22	Experimental	16	Jupyter Notebook
42	PyDMD/glappo Generic Linear Algebra Porting of PyDMD [Ongoing]	21	Experimental	11	Jupyter Notebook
43	YecanLee/min-LSTM-torch Unofficial PyTorch Implementation of "Were RNNs All We Needed?"	20	Experimental	17	Python
44	GuidoManni/DeepLearningImplementation This repository contains implementations of prominent computer vision deep...	20	Experimental	13	Python
45	HIDEKI-SQ/dual-gradient-learning Six papers on information geometry, natural gradient methods, and...	19	Experimental	—	Jupyter Notebook
46	kachelriess/rnam recurrent neural additive model	19	Experimental	—	Jupyter Notebook
47	aryateja2106/neural-memory-reproduction Complete PyTorch reproduction of Google's TITANS, MIRAS, and NL neural...	18	Experimental	3	Python
48	tanjeffreyz/ml-paper-implementations Collection of my implementations of various machine learning papers	17	Experimental	5	HTML
49	MASILab/cornn_tractography Convolutional-recurrent neural networks approximate diffusion tractography...	17	Experimental	21	Python
50	chenjoya/dropit DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)	17	Experimental	32	Python
51	AlirezaMorsali/ENRP Ensemble Neural Representation Networks	17	Experimental	12	Jupyter Notebook
52	gasparyanartur/brain-image-implementation A reimplementation of the paper Human-Aligned Image Models Improve Visual...	16	Experimental	2	Jupyter Notebook
53	rohan-paul/Deep-Learning-Paper-Implementation From Scratch Implementation of some popular Deep Learning Papers with...	16	Experimental	18	Jupyter Notebook
54	francois-rozet/papers-101 Implementation of papers in 101 lines of code.	15	Experimental	18	Python
55	juliusberner/ddn_tutorial Tutorial on Deep Declarative Networks	14	Experimental	1	HTML
56	Onurcn93/Deep-Learning A personal PyTorch deep learning framework for image classification supports...	14	Experimental	—	Python
57	aaitorm/deep-learning-architectures Implementations and experiments with neural network architectures such as...	14	Experimental	—	—
58	mabirck/adaptative-dropout-pytorch Pytorch implementation of Adaptative Dropout a.ka Standout.	14	Experimental	12	Python
59	JackHCC/Awesome-DL-Models 🤩Learning and reproducing classic deep learning models by using...	14	Experimental	30	Python
60	AntoAndGar/Intrinsic-Dimension Code implementing the paper "Measuring intrinsic dimension of objective...	13	Experimental	8	Jupyter Notebook
61	sushant097/Deep-Learning-Paper-Scratch-Implementation It consists of various deep learning paper implementations from scratch,...	13	Experimental	7	Jupyter Notebook
62	jaygala24/pytorch-implementations A collection of paper implementations using the PyTorch framework	12	Experimental	29	Jupyter Notebook
63	DewashishCodes/Nested-Learning Google latest research paper "Nested Learning: The Illusion of Deep Learning...	11	Experimental	7	Jupyter Notebook
64	MHRN-DS/CogComp Computational modeling of hierarchical visual concept learning using Deep...	11	Experimental	—	Jupyter Notebook
65	jhasan2026/DeepTorch_Lab 500 deep learning implementations in PyTorch — from tensors and autograd to...	11	Experimental	—	Python
66	SharvenRane/paper-implementations Clean implementations of 20 landmark CV papers: ResNet through DiT, each in...	11	Experimental	—	Python
67	carsonSgit/Mice-Neural-Decoding-ML 🧠 Predicting mouse navigation through multi-plane L2/3 retrosplenial cortex...	11	Experimental	8	Python
68	suixin1424/pytorch-re-implementation pytorch re-implementation version built with pybind11	10	Experimental	1	C++

Comparisons in this category

DLTK and models (44 vs 38)