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 77 paper implementation collections frameworks tracked. 10 score above 50 (established tier). The highest-rated is kk7nc/RMDL at 59/100 with 429 stars. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	kk7nc/RMDL RMDL: Random Multimodel Deep Learning for Classification	59	Established	429	Python
2	MaximeVandegar/Papers-in-100-Lines-of-Code Implementation of papers in 100 lines of code.	59	Established	2,618	Python
3	OML-Team/open-metric-learning Metric learning and retrieval pipelines, models and zoo.	58	Established	985	Python
4	miguelvr/dropblock Implementation of DropBlock: A regularization method for convolutional...	57	Established	594	Python
5	DLTK/DLTK Deep Learning Toolkit for Medical Image Analysis	51	Established	1,452	Python
6	dasguptar/treelstm.pytorch Tree LSTM implementation in PyTorch	51	Established	551	Python
7	PaddlePaddle/Research novel deep learning research works with PaddlePaddle	51	Established	1,751	Python
8	PaddlePaddle/models Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech,...	51	Established	6,946	Python
9	hi-abhi/tensorflow-value-iteration-networks TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper	50	Established	552	Python
10	AI4SIM/model-collection This project contains a collection of deep learning models developed by the...	50	Established	16	Python
11	asappresearch/sru Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)	48	Emerging	2,112	Python
12	EmilienDupont/neural-processes Pytorch implementation of Neural Processes for functions and images :fireworks:	48	Emerging	235	Jupyter Notebook
13	Confusezius/Deep-Metric-Learning-Baselines PyTorch Implementation for Deep Metric Learning Pipelines	48	Emerging	576	Python
14	BrianPulfer/PapersReimplementations Personal short implementations of Machine Learning papers	48	Emerging	250	Jupyter Notebook
15	hcnoh/knowledge-tracing-collection-pytorch A collection of Knowledge Tracing model implementations with PyTorch	47	Emerging	181	Python
16	aurelio-amerio/ConcreteDropout Concrete Dropout implementation for Tensorflow 2.0 and PyTorch	45	Emerging	14	Python
17	archinetai/surgeon-pytorch A library to inspect and extract intermediate layers of PyTorch models.	45	Emerging	473	Python
18	clement-bonnet/lpn Latent Program Network (from the "Searching Latent Program Spaces" paper)	45	Emerging	108	Jupyter Notebook
19	DLTK/models DLTK Model Zoo	45	Emerging	113	Jupyter Notebook
20	gitE0Z9/pytorch-implementations Deep learning models implemented in PyTorch	44	Emerging	53	Jupyter Notebook
21	matajoh/fourier_feature_nets Supplemental learning materials for "Fourier Feature Networks and Neural...	43	Emerging	179	Python
22	sunshineatnoon/Paper-Implementations Use PyTorch to implement some classic frameworks	43	Emerging	622	Python
23	archinetai/smart-pytorch PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural...	42	Emerging	62	Python
24	carlsummer/python_developer_tools 论文复现，多机多卡	41	Emerging	49	HTML
25	Atcold/pytorch-CortexNet PyTorch implementation of the CortexNet predictive model	41	Emerging	368	Jupyter Notebook
26	cankocagil/Cognitive-Computational-Modelling-for-Spatio-Temporal-fMRI-in-Ventral-Temporal-Cortex Multi-voxel pattern analyses methods based on ML & DL to decode the...	40	Emerging	22	Jupyter Notebook
27	qiyuantian/DeepDTI DeepDTI Tutorial	40	Emerging	33	HTML
28	jhagnberger/smart Official PyTorch implementation of the SMART model.	39	Emerging	10	Python
29	fmi-basel/latent-predictive-learning Code to accompany our paper "The combination of Hebbian and predictive...	39	Emerging	31	Jupyter Notebook
30	waldo-vision/models Repository for model development and training	36	Emerging	14	Python
31	XinshaoAmosWang/DeepCriticalLearning Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.	34	Emerging	31	Python
32	noisrucer/deep-learning-papers DL research paper implementations with PyTorch	34	Emerging	64	Jupyter Notebook
33	juno-hwang/juno-dkt Scikit-learn style implementation of Deep Knowledge Tracing models based on pytorch.	33	Emerging	15	Jupyter Notebook
34	LinkAnJarad/Torch-Modules-Compilation A compilation of implementations of various ML papers, especially in computer vision.	33	Emerging	8	Python
35	qiyuantian/SDnDTI SDnDTI Tutorial	33	Emerging	11	HTML
36	jonychoi/Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary of paper, End to End Code...	32	Emerging	5	Jupyter Notebook
37	anshumantekriwal/papers Revolutionary Deep Learning Models - All Implemented In PyTorch	32	Emerging	13	—
38	vlongle/articulate-anything [ICLR 2025] Official implementation of Articulate-Anything	31	Emerging	176	HTML
39	aleksa-sukovic/microai Minimal implementations ⚒️ of influential papers 📜 in the field of machine...	29	Experimental	1	Jupyter Notebook
40	phrasenmaeher/cka Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"	29	Experimental	16	Jupyter Notebook
41	PyDMD/glappo Generic Linear Algebra Porting of PyDMD [Ongoing]	28	Experimental	11	Jupyter Notebook
42	edithvillegas/activation-extractor 🐍🔥 Extracting outputs from intermediate layers of any Pytorch model	28	Experimental	3	Jupyter Notebook
43	YecanLee/min-LSTM-torch Unofficial PyTorch Implementation of "Were RNNs All We Needed?"	27	Experimental	17	Python
44	GuidoManni/DeepLearningImplementation This repository contains implementations of prominent computer vision deep...	27	Experimental	13	Python
45	MASILab/cornn_tractography Convolutional-recurrent neural networks approximate diffusion tractography...	24	Experimental	21	Python
46	AlirezaMorsali/ENRP Ensemble Neural Representation Networks	24	Experimental	12	Jupyter Notebook
47	chenjoya/dropit DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)	24	Experimental	32	Python
48	tanjeffreyz/ml-paper-implementations Collection of my implementations of various machine learning papers	24	Experimental	5	HTML
49	rohan-paul/Deep-Learning-Paper-Implementation From Scratch Implementation of some popular Deep Learning Papers with...	23	Experimental	18	Jupyter Notebook
50	francois-rozet/papers-101 Implementation of papers in 101 lines of code.	22	Experimental	18	Python
51	aryateja2106/neural-memory-reproduction Complete PyTorch reproduction of Google's TITANS, MIRAS, and NL neural...	22	Experimental	3	Python
52	JackHCC/Awesome-DL-Models 🤩Learning and reproducing classic deep learning models by using...	21	Experimental	30	Python
53	juliusberner/ddn_tutorial Tutorial on Deep Declarative Networks	21	Experimental	1	HTML
54	HIDEKI-SQ/dual-gradient-learning Six papers on information geometry, natural gradient methods, and...	21	Experimental	—	Jupyter Notebook
55	mabirck/adaptative-dropout-pytorch Pytorch implementation of Adaptative Dropout a.ka Standout.	21	Experimental	12	Python
56	kachelriess/rnam recurrent neural additive model	21	Experimental	—	Jupyter Notebook
57	sushant097/Deep-Learning-Paper-Scratch-Implementation It consists of various deep learning paper implementations from scratch,...	20	Experimental	7	Jupyter Notebook
58	AntoAndGar/Intrinsic-Dimension Code implementing the paper "Measuring intrinsic dimension of objective...	20	Experimental	8	Jupyter Notebook
59	gasparyanartur/brain-image-implementation A reimplementation of the paper Human-Aligned Image Models Improve Visual...	19	Experimental	2	Jupyter Notebook
60	jaygala24/pytorch-implementations A collection of paper implementations using the PyTorch framework	19	Experimental	29	Jupyter Notebook
61	carsonSgit/Mice-Neural-Decoding-ML 🧠 Predicting mouse navigation through multi-plane L2/3 retrosplenial cortex...	18	Experimental	8	Python
62	suixin1424/pytorch-re-implementation pytorch re-implementation version built with pybind11	17	Experimental	1	C++
63	ZhijieXiong/dlkt Migrated to pyedmine	16	Experimental	16	Python
64	DewashishCodes/Nested-Learning Google latest research paper "Nested Learning: The Illusion of Deep Learning...	15	Experimental	7	Jupyter Notebook
65	aaitorm/deep-learning-architectures Implementations and experiments with neural network architectures such as...	14	Experimental	—	—
66	FrancescoSaverioZuppichini/non-max-suppression-in-pytorch How to implement Non Max Suppression (NMS) in PyTorch	14	Experimental	17	—
67	Onurcn93/Deep-Learning A personal PyTorch deep learning framework for image classification supports...	14	Experimental	—	Python
68	jhasan2026/DeepTorch_Lab 500 deep learning implementations in PyTorch — from tensors and autograd to...	13	Experimental	—	Python
69	MHRN-DS/CogComp Computational modeling of hierarchical visual concept learning using Deep...	13	Experimental	—	Jupyter Notebook
70	SharvenRane/paper-implementations Clean implementations of 20 landmark CV papers: ResNet through DiT, each in...	13	Experimental	—	Python
71	M0hc3n/Deep-Neural-Networks-Architectures-For-Computer-Vision-Tasks This repository bundles the implementation of some well-known Deep Neural...	12	Experimental	5	Python
72	FrancescoSaverioZuppichini/Value-Iteration-Network Implementation of the Value Iteration Network in Pytorch	11	Experimental	—	Jupyter Notebook
73	MikuAndRabbit/Model-Implement-Record Some models and training frameworks I implemented.	11	Experimental	—	Python
74	flxcp/dl.papers Implementing Deep Learning Papers using PyTorch	11	Experimental	—	—
75	isHuangXin/code-search :rainbow: Paper-implementations in Code Search (Baseline).	11	Experimental	4	Python
76	roytravel/paper-implementation pytorch Implementation of deep learning models	11	Experimental	4	Python
77	Paulpey13/Learning-Compact-Transparent-Models-using-Neuro-Symbolic-Methods Research project in collaboration with IBM. The goal was to improve Machine...	11	Experimental	3	—

Comparisons in this category

DLTK and models (51 vs 45)