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Repo AI, lập trình & video AI xếp theo tốc độ tăng sao.
| # | Repo | Sao | 7 ngày |
|---|---|---|---|
| 2551 | CU cuiziteng/Illumination-Adaptive-Transformer 🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing. Huấn luyện & fine-tune | 589 | — |
| 2552 | LU lucidrains/pi-zero-pytorch Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence Huấn luyện & fine-tune | 589 | — |
| 2553 | IK ikostrikov/pytorch-flows PyTorch implementations of algorithms for density estimation Huấn luyện & fine-tune | 589 | — |
| 2554 | DM DmitryRyumin/AAAI-2024-Papers AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository! Huấn luyện & fine-tune | 589 | — |
| 2555 | UC uclaml/SPPO The official implementation of Self-Play Preference Optimization (SPPO) Huấn luyện & fine-tune | 589 | — |
| 2556 | ST | 588 | — |
| 2557 | SW | 588 | — |
| 2558 | MI miyosuda/async_deep_reinforce Asynchronous Methods for Deep Reinforcement Learning Huấn luyện & fine-tune | 588 | — |
| 2559 | MU Murgio/Food-Recipe-CNN food image to recipe with deep convolutional neural networks. Huấn luyện & fine-tune | 588 | — |
| 2560 | TA | 587 | — |
| 2561 | EE | 587 | — |
| 2562 | OP | 587 | — |
| 2563 | NI | 587 | — |
| 2564 | LD | 586 | — |
| 2565 | JU Junjue-Wang/LoveDA [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation Huấn luyện & fine-tune | 585 | — |
| 2566 | CH cheind/pytorch-blender :sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines Huấn luyện & fine-tune | 585 | — |
| 2567 | BU business-science/modeltime Modeltime unlocks time series forecast models and machine learning in one framework Huấn luyện & fine-tune | 585 | — |
| 2568 | SC ScalaConsultants/Aspect-Based-Sentiment-Analysis 💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow) Huấn luyện & fine-tune | 585 | — |
| 2569 | IR ironjr/grokfast Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients" Huấn luyện & fine-tune | 584 | — |
| 2570 | VI ViTAE-Transformer/ViTDet Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection" Huấn luyện & fine-tune | 584 | — |
| 2571 | SZ | 583 | — |
| 2572 | NI | 583 | — |
| 2573 | KU kuanghuei/SCAN PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018) Huấn luyện & fine-tune | 583 | — |
| 2574 | YU yuanli2333/Teacher-free-Knowledge-Distillation Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization Huấn luyện & fine-tune | 582 | — |
| 2575 | GA gapeng000/PyTorch-progressive_growing_of_gans PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. Huấn luyện & fine-tune | 582 | — |
| 2576 | MI microsoft/InnerEye-DeepLearning(lưu trữ) Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning Huấn luyện & fine-tune | 582 | — |
| 2577 | GR | 580 | — |
| 2578 | BE beyretb/AnimalAI-Olympics Code repository for the Animal AI Olympics competition Huấn luyện & fine-tune | 580 | — |
| 2579 | OY OysterQAQ/ACG2vec ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.(文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统) Huấn luyện & fine-tune | 580 | — |
| 2580 | CL clovaai/synthtiger Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021 Huấn luyện & fine-tune | 580 | — |
| 2581 | FR | 579 | — |
| 2582 | PR Project-Splinter/MonoPort Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020) Huấn luyện & fine-tune | 578 | — |
| 2583 | ZS zsdonghao/deep-learning-book 《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville Huấn luyện & fine-tune | 578 | — |
| 2584 | JE JeffersonQin/YuzuMarker.FontDetection ✨ 首个CJK(中日韩)字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker Huấn luyện & fine-tune | 577 | — |
| 2585 | SC Scalsol/mega.pytorch Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020 Huấn luyện & fine-tune | 577 | — |
| 2586 | CO Confusezius/Deep-Metric-Learning-Baselines PyTorch Implementation for Deep Metric Learning Pipelines Huấn luyện & fine-tune | 577 | — |
| 2587 | BA Bartzi/see Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition" Huấn luyện & fine-tune | 577 | — |
| 2588 | MO Mostafa-Samir/DNC-tensorflow A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC) Huấn luyện & fine-tune | 577 | — |
| 2589 | KA | 576 | — |
| 2590 | RA | 576 | — |
| 2591 | LI liuzhuang13/slimming Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017. Huấn luyện & fine-tune | 576 | — |
| 2592 | BR bradyz/cross_view_transformers Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral) Huấn luyện & fine-tune | 576 | — |
| 2593 | LU lucidrains/enformer-pytorch Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch Huấn luyện & fine-tune | 576 | — |
| 2594 | DA dailenson/One-DM Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation Huấn luyện & fine-tune | 576 | — |
| 2595 | CA carpedm20/simulated-unsupervised-tensorflow TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training" Huấn luyện & fine-tune | 576 | — |
| 2596 | LE leftthomas/ESPCN A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network" Huấn luyện & fine-tune | 575 | — |
| 2597 | RO RobotLocomotion/pytorch-dense-correspondence Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation" Huấn luyện & fine-tune | 575 | — |
| 2598 | FH fh2019ustc/Awesome-Document-Image-Rectification A comprehensive list of awesome document image rectification papers. Huấn luyện & fine-tune | 575 | — |
| 2599 | ZH | 575 | — |
| 2600 | AN AndreiBarsan/DynSLAM Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars. Huấn luyện & fine-tune | 575 | — |