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 |
|---|---|---|---|
| 1651 | MI Minqi824/ADBench Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022. Training & fine-tuning | 1K | — |
| 1652 | GA GANs-in-Action/gans-in-action Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks Training & fine-tuning | 1K | — |
| 1653 | SI sicara/tf-explain Interpretability Methods for tf.keras models with Tensorflow 2.x Training & fine-tuning | 1K | — |
| 1654 | JU Jumpat/SegmentAnythingin3D Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025) Training & fine-tuning | 1K | — |
| 1655 | CL ClementPinard/SfmLearner-Pytorch Pytorch version of SfmLearner from Tinghui Zhou et al. Training & fine-tuning | 1K | — |
| 1656 | KE | 1K | — |
| 1657 | YU yueliu1999/Awesome-Deep-Graph-Clustering [IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets). Training & fine-tuning | 1K | — |
| 1658 | TA tapparelj/gr-lora_sdr This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This work has been conducted at the Telecommunication Circuits Laboratory, EPFL. Training & fine-tuning | 1K | — |
| 1659 | NA natowi/3D-Reconstruction-with-Deep-Learning-Methods List of projects for 3d reconstruction Training & fine-tuning | 1K | — |
| 1660 | SN sniklaus/sepconv-slomo an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch Training & fine-tuning | 1K | — |
| 1661 | K2 | 1K | — |
| 1662 | BA | 1K | — |
| 1663 | LU lucidrains/BS-RoFormer Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs Training & fine-tuning | 1K | — |
| 1664 | TE tensorflow/similarity(archived) TensorFlow Similarity is a python package focused on making similarity learning quick and easy. Training & fine-tuning | 1K | — |
| 1665 | IM imsheridan/DeepRec 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction Training & fine-tuning | 1K | — |
| 1666 | KA | 1K | — |
| 1667 | NV | 1K | — |
| 1668 | WE WenmuZhou/DBNet.pytorch A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization Training & fine-tuning | 1K | — |
| 1669 | AN analyticalrohit/AI-ML-Cheatsheets All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus. Training & fine-tuning | 1K | — |
| 1670 | AL allegro/allRank allRank is a framework for training learning-to-rank neural models based on PyTorch. Training & fine-tuning | 1K | — |
| 1671 | WP wpeebles/gangealing Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist) Training & fine-tuning | 1K | — |
| 1672 | AM | 1K | — |
| 1673 | GR graykode/gpt-2-Pytorch Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation Training & fine-tuning | 1K | — |
| 1674 | NL nlptown/nlp-notebooks A collection of notebooks for Natural Language Processing from NLP Town Training & fine-tuning | 1K | — |
| 1675 | SU SupeRuier/awesome-active-learning Everything you need about Active Learning (AL). Training & fine-tuning | 1K | — |
| 1676 | JI jianzongwu/Awesome-Open-Vocabulary (TPAMI 2024) A Survey on Open Vocabulary Learning Training & fine-tuning | 1K | — |
| 1677 | OL | 1K | — |
| 1678 | DA davidtvs/pytorch-lr-finder A learning rate range test implementation in PyTorch Training & fine-tuning | 1K | — |
| 1679 | TI Time-MoE/Time-MoE [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts" Training & fine-tuning | 1K | — |
| 1680 | AM amusi/awesome-ai-awesomeness A curated list of awesome awesomeness about artificial intelligence Training & fine-tuning | 1K | — |
| 1681 | NV NVlabs/DoRA [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation Training & fine-tuning | 1K | — |
| 1682 | GO | 1K | — |
| 1683 | HA | 1K | — |
| 1684 | ME mees/calvin CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Training & fine-tuning | 1K | — |
| 1685 | PI PINTO0309/onnx2tf A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch. Training & fine-tuning | 1K | — |
| 1686 | OM OML-Team/open-metric-learning Metric learning and retrieval pipelines, models and zoo. Training & fine-tuning | 1K | — |
| 1687 | KE | 999 | — |
| 1688 | NV NVIDIA/cudnn-frontend cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels. Training & fine-tuning | 998 | — |
| 1689 | PA PAIR-code/saliency Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more). Training & fine-tuning | 996 | — |
| 1690 | CO codebasics/deep-learning-keras-tf-tutorial Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python. Training & fine-tuning | 995 | — |
| 1691 | GR greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes Training & fine-tuning | 995 | — |
| 1692 | MA MaurizioFD/RecSys2019_DeepLearning_Evaluation This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies. Training & fine-tuning | 992 | — |
| 1693 | KA | 991 | — |
| 1694 | MI microsoft/renderformer Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination Training & fine-tuning | 990 | — |
| 1695 | FO | 990 | — |
| 1696 | CO codeproject/CodeProject.AI-Server CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI. Training & fine-tuning | 989 | — |
| 1697 | HA harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch Implementing Siamese networks with a contrastive loss for similarity learning Training & fine-tuning | 989 | — |
| 1698 | QE | 988 | — |
| 1699 | QI qinzheng93/GeoTransformer [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration Training & fine-tuning | 986 | — |
| 1700 | PI piEsposito/blitz-bayesian-deep-learning A simple and extensible library to create Bayesian Neural Network layers on PyTorch. Training & fine-tuning | 985 | — |