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 |
|---|---|---|---|
| 2501 | MI MishaLaskin/curl CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning Training & fine-tuning | 607 | — |
| 2502 | DA | 606 | — |
| 2503 | KE | 605 | — |
| 2504 | MA | 605 | — |
| 2505 | NV NVIDIA/nvshmem NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams. Training & fine-tuning | 605 | — |
| 2506 | AI ai-techsystems/deepC vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers Training & fine-tuning | 605 | — |
| 2507 | HZ | 604 | — |
| 2508 | CH | 604 | — |
| 2509 | KM | 604 | — |
| 2510 | YE yeyupiaoling/AudioClassification-Pytorch The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods. Training & fine-tuning | 603 | — |
| 2511 | PL plkmo/BERT-Relation-Extraction PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper Training & fine-tuning | 603 | — |
| 2512 | ZA zalandoresearch/pytorch-vq-vae PyTorch implementation of VQ-VAE by Aäron van den Oord et al. Training & fine-tuning | 603 | — |
| 2513 | SH Shank2358/GGHL This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection) Training & fine-tuning | 603 | — |
| 2514 | DA | 602 | — |
| 2515 | RI richzhang/colorization-pytorch PyTorch reimplementation of Interactive Deep Colorization Training & fine-tuning | 602 | — |
| 2516 | DE | 602 | — |
| 2517 | CB | 602 | — |
| 2518 | JA jakkra/Mars-Rover 3D printed and driveable Curiosity/Perseverance inspired Rover Training & fine-tuning | 602 | — |
| 2519 | WI wildminder/awesome-ltx2 All available LTX-2 models, encoders, workflows, LoRAs for ComfyUI Training & fine-tuning | 602 | — |
| 2520 | MA ma-xu/pointMLP-pytorch [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework" Training & fine-tuning | 601 | — |
| 2521 | AL | 601 | — |
| 2522 | KD KDD-OpenSource/DeepADoTS Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series". Training & fine-tuning | 601 | — |
| 2523 | IS | 601 | — |
| 2524 | DF dfl-rlab/dddmr_navigation dddmr_navigation is the 3D navigation solution for mobile robots includes mapping/localization/perception/path planning/controller/navigation stack Training & fine-tuning | 601 | — |
| 2525 | IS | 601 | — |
| 2526 | ML mlwithme/BertWithPretrained An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习 Training & fine-tuning | 601 | — |
| 2527 | HA HarryVolek/PyTorch_Speaker_Verification PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al. Training & fine-tuning | 600 | — |
| 2528 | OL olramde/DeepRL-TensorFlow2 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2 Training & fine-tuning | 599 | — |
| 2529 | AB abhisheks008/DL-Simplified Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013 Training & fine-tuning | 599 | — |
| 2530 | LU lucidrains/point-transformer-pytorch Implementation of the Point Transformer layer, in Pytorch Training & fine-tuning | 599 | — |
| 2531 | CA | 599 | — |
| 2532 | JI JiahuiYu/wdsr_ntire2018 Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018 Training & fine-tuning | 597 | — |
| 2533 | FA facebookresearch/NeuralCompression(archived) A collection of tools for neural compression enthusiasts. Training & fine-tuning | 597 | — |
| 2534 | TI Tim-Salzmann/l4casadi Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados. Training & fine-tuning | 597 | — |
| 2535 | VI virajmavani/semi-auto-image-annotation-tool Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using user-defined labels Training & fine-tuning | 596 | — |
| 2536 | BR Brummi/MonoRec Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021) Training & fine-tuning | 596 | — |
| 2537 | TH ThinamXx/300Days__MachineLearningDeepLearning I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning. Training & fine-tuning | 596 | — |
| 2538 | MI miguelvr/dropblock Implementation of DropBlock: A regularization method for convolutional networks in PyTorch. Training & fine-tuning | 595 | — |
| 2539 | TH | 595 | — |
| 2540 | MA mahmoudnafifi/Exposure_Correction Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021). Training & fine-tuning | 595 | — |
| 2541 | LO locuslab/optnet OptNet: Differentiable Optimization as a Layer in Neural Networks Training & fine-tuning | 595 | — |
| 2542 | CV | 594 | — |
| 2543 | RI | 594 | — |
| 2544 | TI timbmg/Sentence-VAE PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349 Training & fine-tuning | 594 | — |
| 2545 | FX | 593 | — |
| 2546 | SK sktime/sktime-dl DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow Training & fine-tuning | 593 | — |
| 2547 | FL FluxML/FastAI.jl Repository of best practices for deep learning in Julia, inspired by fastai Training & fine-tuning | 593 | — |
| 2548 | CU curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data Training & fine-tuning | 591 | — |
| 2549 | SY synbol/Awesome-Parameter-Efficient-Transfer-Learning Collection of awesome parameter-efficient fine-tuning resources. Training & fine-tuning | 590 | — |
| 2550 | AW | 589 | — |