Neural Architecture Search ML Frameworks

Frameworks and tools for automating neural network design through NAS techniques (DARTS, evolutionary search, graph-based methods). Does NOT include general AutoML pipeline search, hyperparameter tuning, or manual architecture guides.

There are 62 neural architecture search frameworks tracked. 1 score above 70 (verified tier). The highest-rated is pykt-team/pykt-toolkit at 70/100 with 359 stars and 3,600 monthly downloads.

Get all 62 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	pykt-team/pykt-toolkit pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models	70	Verified	359	Python
2	microsoft/archai Accelerate your Neural Architecture Search (NAS) through fast, reproducible...	62	Established	482	Python
3	IDEALLab/EngiBench Benchmarks for automated engineering design	59	Established	27	Python
4	AI-team-UoA/pyJedAI An open-source library that leverages Python’s data science ecosystem to...	55	Established	89	Python
5	BlackHC/batchbald_redux Reusable BatchBALD implementation	53	Established	78	Jupyter Notebook
6	quark0/darts Differentiable architecture search for convolutional and recurrent networks	51	Established	3,993	Python
7	google-research/morph-net Fast & Simple Resource-Constrained Learning of Deep Network Structure	51	Established	1,033	Python
8	automl/neps Neural Pipeline Search (NePS): Helps deep learning experts find the best...	50	Established	78	Python
9	ayrna/dlordinal Open-source Python toolkit focused on deep learning with ordinal methodologies	47	Emerging	68	Python
10	CDJellen/otbench Effective Benchmarks for Optical Turbulence Modeling	45	Emerging	6	Jupyter Notebook
11	csarron/awesome-emdl Embedded and mobile deep learning research resources	44	Emerging	765	—
12	danijar/granular Fast dataset format and loader	44	Emerging	24	Python
13	YannDubs/Neural-Process-Family Code for the Neural Processes website and replication of 4 papers on NPs....	41	Emerging	231	Jupyter Notebook
14	jakubpeleska/redelex ReDeLEx is a Python framework for developing and evaluating RDL models on...	41	Emerging	20	Jupyter Notebook
15	modAL-python/modAL A modular active learning framework for Python	41	Emerging	2,342	Python
16	GET-Foundation/get_model A modular framework for multimodal cross-cell-type transcriptional regulation models	40	Emerging	102	Jupyter Notebook
17	ayyucedemirbas/KerasFuse KerasFuse is a Python library that combines the power of TensorFlow and...	39	Emerging	33	Python
18	llnl/dfanalyzer Layered data-flow analysis for HPC I/O.	38	Emerging	3	Jupyter Notebook
19	aspuru-guzik-group/olympus Olympus: a benchmarking framework for noisy optimization and experiment planning	38	Emerging	95	Jupyter Notebook
20	jinglescode/python-signal-processing splearn: package for signal processing and machine learning with Python....	38	Emerging	85	Jupyter Notebook
21	NiuTrans/NASPapers Paper lists of neural architecture search (NAS)	38	Emerging	134	—
22	andreazignoli/pyoxynet The Oxynet Python package repository	36	Emerging	17	Python
23	markdtw/awesome-architecture-search A curated list of awesome architecture search resources	34	Emerging	1,190	—
24	anulum/scpn-fusion-core SCPN Fusion Core — Advanced Plasma Physics & Neuromorphic Control Suite for...	34	Emerging	8	Python
25	yangalan123/TemporalPointProcessPapers Paper lists for Temporal Point Process	34	Emerging	120	—
26	HayeonLee/MetaD2A Official PyTorch implementation of "Rapid Neural Architecture Search by...	33	Emerging	64	Python
27	naotoo1/Beyond-Neural-Scaling Implementation of Beyond Neural Scaling beating power laws for deep models...	33	Emerging	34	Python
28	pietrolesci/energizer An active learning library for Pytorch based on Lightning-Fabric.	32	Emerging	79	Python
29	TimRoith/BregmanLearning Optimizing neural networks via an inverse scale space flow.	31	Emerging	18	Jupyter Notebook
30	mercator-ocean/oceanbench Benchmark evaluating ocean forecasting systems against reference datasets...	31	Emerging	27	Jupyter Notebook
31	automl/hierarchical_nas_construction Official repository for "Construction of Hierarchical Neural Architecture...	30	Emerging	17	Python
32	neelsomani/symbolic-circuit-distillation Automatically extract executable programs from pruned mechanistic circuits,...	29	Experimental	64	Python
33	GeminiLight/ml4co-survey A survey on machine learning for combinatorial optimization.	28	Experimental	13	HTML
34	HayeonLee/HELP Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency...	28	Experimental	64	Python
35	chenyaofo/CTNAS [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture...	27	Experimental	40	Python
36	cambridge-mlg/convcnp Implementation of the Convolutional Conditional Neural Process	27	Experimental	129	Jupyter Notebook
37	llnl/XNAS Explainable Neural Architecture Search (XNAS)	25	Experimental	5	Python
38	T0chka/MLPermutationSolver GPU-native framework for solving permutation sorting problems on Cayley graphs	25	Experimental	3	Python
39	RylanSchaeffer/Stanford-AI-Alignment-Double-Descent-Tutorial Code for Arxiv Double Descent Demystified: Identifying, Interpreting &...	24	Experimental	66	Python
40	VITA-Group/WeakNAS [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai,...	24	Experimental	27	Jupyter Notebook
41	inikishev/visualbench Fast benchmarks for optimization algorithms with visualizations. Supports...	23	Experimental	7	Python
42	VincentGranville/Point-Processes This repository contains the material (datasets, code, videos, spreadsheets)...	23	Experimental	54	Python
43	sun-umn/NCVX NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in...	22	Experimental	37	—
44	lims2019/Arith-DAS 🚀 Optimize arithmetic circuits efficiently with differentiable architecture...	22	Experimental	—	Python
45	Panopan09/pq pq is a tool to help install and manage podman quadlets from a git...	22	Experimental	—	Go
46	tonygracious/Temporal-Point-Process-TPP- This repository contains recent background materials, current works, and...	22	Experimental	16	—
47	jwyyy/AdaFNN [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers	21	Experimental	32	Jupyter Notebook
48	Ren-Research/LOMAR [ICML 2023] Learning for Edge-Weighted Online Bipartite Matching with...	21	Experimental	11	Python
49	meowoodie/Neural-Spectral-Marked-Point-Processes A novel general non-stationary point process model based on neural networks.	20	Experimental	11	Jupyter Notebook
50	jakobringler/H_ML_Castles ML Supported Procedural Castles in SideFX Houdini using PyTorch	18	Experimental	11	Python
51	NachoPeinador/Topological-Reinforcement-Operator A neuro-inspired computational framework for modeling memory consolidation...	17	Experimental	2	Jupyter Notebook
52	FlowFrontiers/AutoFlow Supporting page for the manuscript titled, "AutoFlow: An Autoencoder-based...	15	Experimental	1	Jupyter Notebook
53	CownowAn/DaSS Official PyTorch implementation of "Meta-prediction Model for...	15	Experimental	26	Python
54	mindfiredigital/neo-pusher Python package designed to facilitate the seamless transfer of data from CSV...	15	Experimental	18	Python
55	NzoCs/Learning-point-processes New-LTPP is a modern, advanced framework for Temporal Point Process (TPP)...	15	Experimental	1	Python
56	Lare1998/neural-architecture-search Research implementation of efficient NAS for mobile devices.	14	Experimental	—	Python
57	atomicarchitects/PriceofFreedom [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs...	14	Experimental	18	Jupyter Notebook
58	Pects1949/NAS-PyTorch A PyTorch-based framework for Neural Architecture Search (NAS) to automate...	14	Experimental	—	Python
59	chenyaofo/awesome-architecture-search An up-to-date list of progress made in neural architecture search	14	Experimental	9	—
60	Ren-Research/OneProxy [SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural...	14	Experimental	13	Jupyter Notebook
61	jmaczan/darts-toolkit Differentiable Architecture Search Toolkit in PyTorch Lightning	11	Experimental	2	Python
62	zacharie410/RITNA The Real-Time Information Integration for Neural Adaptation (RITNA) model is...	10	Experimental	1	Python