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Repo AI, lập trình & video AI xếp theo tốc độ tăng sao.
| # | Repo | Sao | 7 ngày |
|---|---|---|---|
| 1701 | AN | 985 | — |
| 1702 | IL ildoonet/pytorch-gradual-warmup-lr Gradually-Warmup Learning Rate Scheduler for PyTorch Huấn luyện & fine-tune | 985 | — |
| 1703 | DI dingran/quant-notes Quantitative Interview Preparation Guide, updated version here ==> Huấn luyện & fine-tune | 984 | — |
| 1704 | BU BUPT-GAMMA/OpenHGNN This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL. Huấn luyện & fine-tune | 983 | — |
| 1705 | TU | 983 | — |
| 1706 | XI xinntao/facexlib FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods. Huấn luyện & fine-tune | 982 | — |
| 1707 | TH | 980 | — |
| 1708 | KA KartikChugh/Otto Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub Huấn luyện & fine-tune | 980 | — |
| 1709 | UB uber-archive/plato-research-dialogue-system(lưu trữ) This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents. Huấn luyện & fine-tune | 979 | — |
| 1710 | KM | 978 | — |
| 1711 | JA jacobgil/keras-dcgan Keras implementation of Deep Convolutional Generative Adversarial Networks Huấn luyện & fine-tune | 977 | — |
| 1712 | MA | 976 | — |
| 1713 | AI | 975 | — |
| 1714 | MI mir-group/nequip NequIP is a code for building E(3)-equivariant interatomic potentials Huấn luyện & fine-tune | 974 | — |
| 1715 | SE sekwiatkowski/awesome-capsule-networks A curated list of awesome resources related to capsule networks Huấn luyện & fine-tune | 974 | — |
| 1716 | KO | 973 | — |
| 1717 | DA | 972 | — |
| 1718 | YU Yuan-ManX/ai-audio-datasets AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. Huấn luyện & fine-tune | 972 | — |
| 1719 | RA | 972 | — |
| 1720 | HU huawei-noah/AdderNet Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?" Huấn luyện & fine-tune | 970 | — |
| 1721 | DE Denis2054/Transformers-for-NLP-2nd-Edition Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more Huấn luyện & fine-tune | 970 | — |
| 1722 | MI mit-han-lab/tinyengine [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory Huấn luyện & fine-tune | 970 | — |
| 1723 | RE rezaakb/pinns-torch PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch. Huấn luyện & fine-tune | 966 | — |
| 1724 | WI | 964 | — |
| 1725 | EA easezyc/deep-transfer-learning A collection of implementations of deep domain adaptation algorithms Huấn luyện & fine-tune | 962 | — |
| 1726 | VI VincentStimper/normalizing-flows PyTorch implementation of normalizing flow models Huấn luyện & fine-tune | 962 | — |
| 1727 | CV cvg/GeoCalib GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024) Huấn luyện & fine-tune | 961 | — |
| 1728 | AL AlfredXiangWu/LightCNN A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018 Huấn luyện & fine-tune | 959 | — |
| 1729 | WH whitelok/image-text-localization-recognition(lưu trữ) A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約 Huấn luyện & fine-tune | 959 | — |
| 1730 | MI MingSun-Tse/Efficient-Deep-Learning Collection of recent methods on (deep) neural network compression and acceleration. Huấn luyện & fine-tune | 959 | — |
| 1731 | EL ElectronicCats/CatSniffer CatSniffer is an original multiprotocol and multiband board for sniffing, communicating, and attacking IoT (Internet of Things) devices using the latest radio IoT protocols. It is a highly portable USB stick that integrates TI CC1352, Semtech SX1262, and an RP2040 for V3 or a Microchip SAMD21E17 for V2 Huấn luyện & fine-tune | 959 | — |
| 1732 | WA WarBean/tps_stn_pytorch PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS) Huấn luyện & fine-tune | 956 | — |
| 1733 | D0 | 955 | — |
| 1734 | RI | 955 | — |
| 1735 | GA gabrieleangeletti/Deep-Learning-TensorFlow Ready to use implementations of various Deep Learning algorithms using TensorFlow. Huấn luyện & fine-tune | 954 | — |
| 1736 | JO | 954 | — |
| 1737 | VO voldemortX/pytorch-auto-drive PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help Huấn luyện & fine-tune | 953 | — |
| 1738 | SH | 951 | — |
| 1739 | ZH ZhendongWang6/Uformer [CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration". Huấn luyện & fine-tune | 950 | — |
| 1740 | DN dnouri/nolearn Combines the ease of use of scikit-learn with the power of Theano/Lasagne Huấn luyện & fine-tune | 950 | — |
| 1741 | FU fungtion/DANN pytorch implementation of Domain-Adversarial Training of Neural Networks Huấn luyện & fine-tune | 949 | — |
| 1742 | F9 | 949 | — |
| 1743 | ST StanfordVL/GibsonEnv Gibson Environments: Real-World Perception for Embodied Agents Huấn luyện & fine-tune | 948 | — |
| 1744 | MU | 947 | — |
| 1745 | AW aws-samples/aws-mlu-explain(lưu trữ) Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/ Huấn luyện & fine-tune | 946 | — |
| 1746 | LE LeapLabTHU/DAT Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention Huấn luyện & fine-tune | 945 | — |
| 1747 | NV NVlabs/ODISE Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight] Huấn luyện & fine-tune | 943 | — |
| 1748 | PH philipperemy/deep-speaker Deep Speaker: an End-to-End Neural Speaker Embedding System. Huấn luyện & fine-tune | 942 | — |
| 1749 | HO hollance/YOLO-CoreML-MPSNNGraph Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API. Huấn luyện & fine-tune | 942 | — |
| 1750 | UB uber/neuropod A uniform interface to run deep learning models from multiple frameworks Huấn luyện & fine-tune | 942 | — |