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 61 neural architecture search frameworks tracked. 9 score above 50 (established tier). The highest-rated is pykt-team/pykt-toolkit at 69/100 with 359 stars.

Get all 61 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=neural-architecture-search&limit=20"

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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	69	Established	359	Python
2	microsoft/archai Accelerate your Neural Architecture Search (NAS) through fast, reproducible...	65	Established	482	Python
3	google-research/morph-net Fast & Simple Resource-Constrained Learning of Deep Network Structure	58	Established	1,033	Python
4	AI-team-UoA/pyJedAI An open-source library that leverages Python’s data science ecosystem to...	55	Established	89	Python
5	IDEALLab/EngiBench Benchmarks for automated engineering design	55	Established	27	Python
6	automl/neps Neural Pipeline Search (NePS): Helps deep learning experts find the best...	54	Established	78	Python
7	BlackHC/batchbald_redux Reusable BatchBALD implementation	52	Established	78	Jupyter Notebook
8	quark0/darts Differentiable architecture search for convolutional and recurrent networks	51	Established	3,993	Python
9	csarron/awesome-emdl Embedded and mobile deep learning research resources	51	Established	765	—
10	CDJellen/otbench Effective Benchmarks for Optical Turbulence Modeling	49	Emerging	6	Jupyter Notebook
11	modAL-python/modAL A modular active learning framework for Python	48	Emerging	2,342	Python
12	YannDubs/Neural-Process-Family Code for the Neural Processes website and replication of 4 papers on NPs....	48	Emerging	231	Jupyter Notebook
13	jakubpeleska/redelex ReDeLEx is a Python framework for developing and evaluating RDL models on...	48	Emerging	20	Jupyter Notebook
14	danijar/granular Fast dataset format and loader	48	Emerging	24	Python
15	ayrna/dlordinal Open-source Python toolkit focused on deep learning with ordinal methodologies	47	Emerging	68	Python
16	GET-Foundation/get_model A modular framework for multimodal cross-cell-type transcriptional regulation models	47	Emerging	102	Jupyter Notebook
17	jinglescode/python-signal-processing splearn: package for signal processing and machine learning with Python....	45	Emerging	85	Jupyter Notebook
18	NiuTrans/NASPapers Paper lists of neural architecture search (NAS)	45	Emerging	134	—
19	aspuru-guzik-group/olympus Olympus: a benchmarking framework for noisy optimization and experiment planning	45	Emerging	95	Jupyter Notebook
20	ayyucedemirbas/KerasFuse KerasFuse is a Python library that combines the power of TensorFlow and...	43	Emerging	33	Python
21	andreazignoli/pyoxynet The Oxynet Python package repository	43	Emerging	17	Python
22	llnl/dfanalyzer Layered data-flow analysis for HPC I/O.	41	Emerging	3	Jupyter Notebook
23	markdtw/awesome-architecture-search A curated list of awesome architecture search resources	41	Emerging	1,190	—
24	yangalan123/TemporalPointProcessPapers Paper lists for Temporal Point Process	41	Emerging	120	—
25	HayeonLee/MetaD2A Official PyTorch implementation of "Rapid Neural Architecture Search by...	40	Emerging	64	Python
26	naotoo1/Beyond-Neural-Scaling Implementation of Beyond Neural Scaling beating power laws for deep models...	40	Emerging	34	Python
27	pietrolesci/energizer An active learning library for Pytorch based on Lightning-Fabric.	39	Emerging	79	Python
28	TimRoith/BregmanLearning Optimizing neural networks via an inverse scale space flow.	38	Emerging	18	Jupyter Notebook
29	automl/hierarchical_nas_construction Official repository for "Construction of Hierarchical Neural Architecture...	37	Emerging	17	Python
30	mercator-ocean/oceanbench Benchmark evaluating ocean forecasting systems against reference datasets...	35	Emerging	27	Jupyter Notebook
31	HayeonLee/HELP Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency...	35	Emerging	64	Python
32	GeminiLight/ml4co-survey A survey on machine learning for combinatorial optimization.	35	Emerging	13	HTML
33	chenyaofo/CTNAS [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture...	34	Emerging	40	Python
34	cambridge-mlg/convcnp Implementation of the Convolutional Conditional Neural Process	34	Emerging	129	Jupyter Notebook
35	neelsomani/symbolic-circuit-distillation Automatically extract executable programs from pruned mechanistic circuits,...	33	Emerging	64	Python
36	anulum/scpn-fusion-core SCPN Fusion Core — Advanced Plasma Physics & Neuromorphic Control Suite for...	33	Emerging	8	Python
37	llnl/XNAS Explainable Neural Architecture Search (XNAS)	32	Emerging	5	Python
38	T0chka/MLPermutationSolver GPU-native framework for solving permutation sorting problems on Cayley graphs	31	Emerging	3	Python
39	VITA-Group/WeakNAS [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai,...	31	Emerging	27	Jupyter Notebook
40	RylanSchaeffer/Stanford-AI-Alignment-Double-Descent-Tutorial Code for Arxiv Double Descent Demystified: Identifying, Interpreting &...	31	Emerging	66	Python
41	VincentGranville/Point-Processes This repository contains the material (datasets, code, videos, spreadsheets)...	30	Emerging	54	Python
42	sun-umn/NCVX NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in...	29	Experimental	37	—
43	inikishev/visualbench Fast benchmarks for optimization algorithms with visualizations. Supports...	29	Experimental	7	Python
44	tonygracious/Temporal-Point-Process-TPP- This repository contains recent background materials, current works, and...	29	Experimental	16	—
45	Ren-Research/LOMAR [ICML 2023] Learning for Edge-Weighted Online Bipartite Matching with...	28	Experimental	11	Python
46	jwyyy/AdaFNN [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers	28	Experimental	32	Jupyter Notebook
47	meowoodie/Neural-Spectral-Marked-Point-Processes A novel general non-stationary point process model based on neural networks.	27	Experimental	11	Jupyter Notebook
48	jakobringler/H_ML_Castles ML Supported Procedural Castles in SideFX Houdini using PyTorch	25	Experimental	11	Python
49	NachoPeinador/Topological-Reinforcement-Operator A neuro-inspired computational framework for modeling memory consolidation...	23	Experimental	2	Jupyter Notebook
50	lims2019/Arith-DAS 🚀 Optimize arithmetic circuits efficiently with differentiable architecture...	22	Experimental	—	Python
51	NzoCs/Learning-point-processes New-LTPP is a modern, advanced framework for Temporal Point Process (TPP)...	22	Experimental	1	Python
52	FlowFrontiers/AutoFlow Supporting page for the manuscript titled, "AutoFlow: An Autoencoder-based...	22	Experimental	1	Jupyter Notebook
53	mindfiredigital/neo-pusher Python package designed to facilitate the seamless transfer of data from CSV...	22	Experimental	18	Python
54	CownowAn/DaSS Official PyTorch implementation of "Meta-prediction Model for...	22	Experimental	26	Python
55	Ren-Research/OneProxy [SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural...	21	Experimental	13	Jupyter Notebook
56	atomicarchitects/PriceofFreedom [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs...	21	Experimental	18	Jupyter Notebook
57	chenyaofo/awesome-architecture-search An up-to-date list of progress made in neural architecture search	21	Experimental	9	—
58	jmaczan/darts-toolkit Differentiable Architecture Search Toolkit in PyTorch Lightning	18	Experimental	2	Python
59	zacharie410/RITNA The Real-Time Information Integration for Neural Adaptation (RITNA) model is...	17	Experimental	1	Python
60	Lare1998/neural-architecture-search Research implementation of efficient NAS for mobile devices.	14	Experimental	—	Python
61	Pects1949/NAS-PyTorch A PyTorch-based framework for Neural Architecture Search (NAS) to automate...	14	Experimental	—	Python