Trending AI reposUpdated daily from GitHub
AI, coding & video AI repos ranked by star growth.
AI, coding & video AI repos ranked by star growth.
| # | Repo | Stars | 7d |
|---|---|---|---|
| 1901 | DE deepinv/deepinv DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning Training & fine-tuning | 850 | — |
| 1902 | VI | 849 | — |
| 1903 | MI mihaidusmanu/d2-net D2-Net: A Trainable CNN for Joint Description and Detection of Local Features Training & fine-tuning | 847 | — |
| 1904 | HA haofanwang/ControlNet-for-Diffusers Transfer the ControlNet with any basemodel in diffusers🔥 Training & fine-tuning | 847 | — |
| 1905 | MA matthewvowels1/Awesome-VAEs A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. Training & fine-tuning | 845 | — |
| 1906 | LU lucidrains/linear-attention-transformer Transformer based on a variant of attention that is linear complexity in respect to sequence length Training & fine-tuning | 845 | — |
| 1907 | LI LiyuanLucasLiu/LM-LSTM-CRF Empower Sequence Labeling with Task-Aware Language Model Training & fine-tuning | 844 | — |
| 1908 | SA SakanaAI/doc-to-lora Hypernetworks that update LLMs to remember factual information Training & fine-tuning | 844 | — |
| 1909 | SI SimonVandenhende/Multi-Task-Learning-PyTorch PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020). Training & fine-tuning | 843 | — |
| 1910 | YA YannDubs/disentangling-vae Experiments for understanding disentanglement in VAE latent representations Training & fine-tuning | 843 | — |
| 1911 | RU rundiwu/DeepCAD code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models" Training & fine-tuning | 843 | — |
| 1912 | TH thuml/awesome-multi-task-learning A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective. Training & fine-tuning | 843 | — |
| 1913 | BI | 842 | — |
| 1914 | TR TrenTorch/TrenTorch Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning Training & fine-tuning | 842 | — |
| 1915 | FA | 841 | — |
| 1916 | DE DerrickXuNu/OpenCOOD [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V. Training & fine-tuning | 841 | — |
| 1917 | PA pangeo-data/WeatherBench A benchmark dataset for data-driven weather forecasting Training & fine-tuning | 841 | — |
| 1918 | PY | 840 | — |
| 1919 | BA | 840 | — |
| 1920 | AL AllentDan/LibtorchTutorials This is a code repository for pytorch c++ (or libtorch) tutorial. Training & fine-tuning | 839 | — |
| 1921 | DI diegoalejogm/gans Generative Adversarial Networks implemented in PyTorch and Tensorflow Training & fine-tuning | 839 | — |
| 1922 | GO goru001/inltk Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need Training & fine-tuning | 839 | — |
| 1923 | UL UlionTse/mlgb MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。 Training & fine-tuning | 838 | — |
| 1924 | ST StanfordASL/Trajectron-plus-plus Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution). Training & fine-tuning | 837 | — |
| 1925 | WU wujiyang/Face_Pytorch face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on Training & fine-tuning | 832 | — |
| 1926 | ST styfeng/DataAug4NLP Collection of papers and resources for data augmentation for NLP. Training & fine-tuning | 832 | — |
| 1927 | FI finegrain-ai/refiners(archived) Refiners (discontinued early 2025) was a microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation. Training & fine-tuning | 832 | — |
| 1928 | CA | 831 | — |
| 1929 | LZ lzzcd001/MeshDiffusion Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight) Training & fine-tuning | 831 | — |
| 1930 | SM | 831 | — |
| 1931 | EN ENSTA-U2IS-AI/awesome-uncertainty-deeplearning This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models. Training & fine-tuning | 829 | — |
| 1932 | MA Machine-Learning-Tokyo/papers-with-annotations Research papers with annotations, illustrations and explanations Training & fine-tuning | 828 | — |
| 1933 | NO | 827 | — |
| 1934 | ZS | 827 | — |
| 1935 | SA sail-sg/Adan Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Training & fine-tuning | 826 | — |
| 1936 | SM SMILELab-FL/FedLab A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research. Training & fine-tuning | 826 | — |
| 1937 | UM | 825 | — |
| 1938 | AB abdallahdib/NextFace A high-fidelity 3D face reconstruction library from monocular RGB image(s) Training & fine-tuning | 825 | — |
| 1939 | EV EvilPort2/Sign-Language A very simple CNN project to recognize gestures made in American Sign Language Training & fine-tuning | 825 | — |
| 1940 | SP Spijkervet/SimCLR PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al. Training & fine-tuning | 824 | — |
| 1941 | DE | 824 | — |
| 1942 | BE bertjiazheng/awesome-scene-understanding(archived) 😎 A list of awesome scene understanding papers. Training & fine-tuning | 824 | — |
| 1943 | LU lucidrains/PaLM-pytorch Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways Training & fine-tuning | 823 | — |
| 1944 | NA nashory/pggan-pytorch :fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire: Training & fine-tuning | 822 | — |
| 1945 | AS astra-vision/MonoScene [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image Training & fine-tuning | 822 | — |
| 1946 | SO soubhiksanyal/FLAME_PyTorch This is a implementation of the 3D FLAME model in PyTorch Training & fine-tuning | 820 | — |
| 1947 | XX xxxnell/how-do-vits-work (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?" Training & fine-tuning | 820 | — |
| 1948 | AL Algolzw/daclip-uir [ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge. Training & fine-tuning | 820 | — |
| 1949 | KU | 820 | — |
| 1950 | HA haofanwang/Lora-for-Diffusers The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥 Training & fine-tuning | 820 | — |