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AI, coding & video AI repos ranked by star growth.
AI, coding & video AI repos ranked by star growth.
| # | Repo | Stars | 7d |
|---|---|---|---|
| 1951 | PR prakashpandey9/Text-Classification-Pytorch Text classification using deep learning models in Pytorch Training & fine-tuning | 819 | — |
| 1952 | NE | 819 | — |
| 1953 | FL flyingdoog/awesome-graph-explainability-papers Papers about explainability of GNNs Training & fine-tuning | 819 | — |
| 1954 | CH chungyiweng/humannerf HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video. Training & fine-tuning | 816 | — |
| 1955 | LU lucidrains/native-sparse-attention-pytorch Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper Training & fine-tuning | 816 | — |
| 1956 | TH thuml/depyf depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile. Training & fine-tuning | 816 | — |
| 1957 | FR fregu856/deeplabv3 PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset. Training & fine-tuning | 816 | — |
| 1958 | SH | 815 | — |
| 1959 | ME megvii-research/MOTR [ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer Training & fine-tuning | 815 | — |
| 1960 | RG rgeirhos/texture-vs-shape Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral) Training & fine-tuning | 815 | — |
| 1961 | LA Langhalsdino/Kubernetes-GPU-Guide This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster. Training & fine-tuning | 814 | — |
| 1962 | ML | 814 | — |
| 1963 | KI kimhc6028/relational-networks Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks) Training & fine-tuning | 814 | — |
| 1964 | AW awslabs/dgl-lifesci Python package for graph neural networks in chemistry and biology Training & fine-tuning | 813 | — |
| 1965 | LM | 813 | — |
| 1966 | KA kaituoxu/Speech-Transformer A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese. Training & fine-tuning | 812 | — |
| 1967 | AN antao97/dgcnn.pytorch(archived) A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN) Training & fine-tuning | 812 | — |
| 1968 | PR PracticalDL/Practical-Deep-Learning-Book Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge Training & fine-tuning | 812 | — |
| 1969 | DA DaoSword/Time-Series-Forecasting-and-Deep-Learning Resources about time series forecasting and deep learning. Training & fine-tuning | 812 | — |
| 1970 | BE benedekrozemberczki/SimGNN A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019). Training & fine-tuning | 812 | — |
| 1971 | VI VinAIResearch/PhoBERT PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings) Training & fine-tuning | 811 | — |
| 1972 | GO GoogleCloudPlatform/keras-idiomatic-programmer(archived) Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework Training & fine-tuning | 811 | — |
| 1973 | YI yiranran/APDrawingGAN Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral) Training & fine-tuning | 810 | — |
| 1974 | BA | 810 | — |
| 1975 | KW kwea123/VTuber_Unity(archived) Use Unity 3D character and Python deep learning algorithms to stream as a VTuber! Training & fine-tuning | 809 | — |
| 1976 | AS ashishpatel26/Amazing-Feature-Engineering Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. Training & fine-tuning | 809 | — |
| 1977 | ME megvii-research/IJCAI2023-CoNR IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets Training & fine-tuning | 807 | — |
| 1978 | KU kuan-wang/pytorch-mobilenet-v3 MobileNetV3 in pytorch and ImageNet pretrained models Training & fine-tuning | 806 | — |
| 1979 | TI titu1994/LSTM-FCN Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification Training & fine-tuning | 806 | — |
| 1980 | PA parrt/tensor-sensor The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai. Training & fine-tuning | 806 | — |
| 1981 | WU wuji3/Doraemon A powerful baseline for image classification, face recognition and image retrieval with Pytorch Training & fine-tuning | 806 | — |
| 1982 | LO | 806 | — |
| 1983 | KA kazuto1011/grad-cam-pytorch PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps) Training & fine-tuning | 805 | — |
| 1984 | CH chocoluffy/deep-recommender-system key Deep Learning engineering tricks in recsys Training & fine-tuning | 805 | — |
| 1985 | MS msurtsukov/neural-ode Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations Training & fine-tuning | 804 | — |
| 1986 | 804 | — | |
| 1987 | LO loicland/superpoint_graph Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Training & fine-tuning | 803 | — |
| 1988 | BE benedekrozemberczki/ClusterGCN A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019). Training & fine-tuning | 803 | — |
| 1989 | RA ra1nty/DXcam A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026 Training & fine-tuning | 802 | — |
| 1990 | PI | 802 | — |
| 1991 | PY | 802 | — |
| 1992 | ST sthalles/deeplab_v3 Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN Training & fine-tuning | 802 | — |
| 1993 | JI | 802 | — |
| 1994 | CH ChenRocks/UNITER Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning" Training & fine-tuning | 801 | — |
| 1995 | NE neoml-lib/neoml Machine learning framework for both deep learning and traditional algorithms Training & fine-tuning | 801 | — |
| 1996 | VA vandit15/Class-balanced-loss-pytorch Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples" Training & fine-tuning | 801 | — |
| 1997 | KE kekmodel/FixMatch-pytorch Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" Training & fine-tuning | 800 | — |
| 1998 | SO | 799 | — |
| 1999 | NV NVlabs/FB-BEV Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception Training & fine-tuning | 798 | — |
| 2000 | NL nlp-uoregon/trankit Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Training & fine-tuning | 797 | — |