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| # | Repo | Sao | 7 ngày |
|---|---|---|---|
| 2801 | JS | 523 | — |
| 2802 | CI circuitnet/CircuitNet CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA) Huấn luyện & fine-tune | 523 | — |
| 2803 | EX experiencor/self-driving-toy-car A self driving toy car using end-to-end learning Huấn luyện & fine-tune | 523 | — |
| 2804 | DO dougbrion/pytorch-classification-uncertainty This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" Huấn luyện & fine-tune | 522 | — |
| 2805 | YL yl4579/StarGANv2-VC StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Huấn luyện & fine-tune | 522 | — |
| 2806 | FA FAST-Imaging/FAST A framework for high-performance medical image processing, neural network inference and visualization Huấn luyện & fine-tune | 522 | — |
| 2807 | XI XiuzeZhou/RUL Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries Huấn luyện & fine-tune | 522 | — |
| 2808 | AI airalcorn2/Deep-Semantic-Similarity-Model My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf. Huấn luyện & fine-tune | 521 | — |
| 2809 | YU Yujia-Yan/Transkun A simple yet effective Audio-to-Midi Automatic Piano Transcription system Huấn luyện & fine-tune | 520 | — |
| 2810 | WE WenjieDu/SAITS The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516 Huấn luyện & fine-tune | 520 | — |
| 2811 | XI XingangPan/deep-generative-prior Code for deep generative prior (ECCV2020 oral) Huấn luyện & fine-tune | 520 | — |
| 2812 | SR | 520 | — |
| 2813 | LA layumi/Vehicle_reID-Collection :red_car: the collection of vehicle re-ID papers, datasets. :red_car: Huấn luyện & fine-tune | 520 | — |
| 2814 | AQ aqibsaeed/Urban-Sound-Classification Urban sound classification using Deep Learning Huấn luyện & fine-tune | 519 | — |
| 2815 | ME | 519 | — |
| 2816 | PR | 518 | — |
| 2817 | SA samuela/git-re-basin Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries" Huấn luyện & fine-tune | 518 | — |
| 2818 | WH wherobots/GeoTorchAI GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale Huấn luyện & fine-tune | 518 | — |
| 2819 | AK | 518 | — |
| 2820 | EL | 517 | — |
| 2821 | PH phamquiluan/ResidualMaskingNetwork ICPR 2020: Facial Expression Recognition using Residual Masking Network Huấn luyện & fine-tune | 516 | — |
| 2822 | DI DIYer22/boxx Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision. Huấn luyện & fine-tune | 516 | — |
| 2823 | TA tarun005/FLAVR Code for FLAVR: A fast and efficient frame interpolation technique. Huấn luyện & fine-tune | 516 | — |
| 2824 | LU lucidrains/siren-pytorch Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function Huấn luyện & fine-tune | 516 | — |
| 2825 | AP apple-aiml-research/ml-mdm Train high-quality text-to-image diffusion models in a data & compute efficient manner Huấn luyện & fine-tune | 516 | — |
| 2826 | MI | 515 | — |
| 2827 | FU fulifeng/Causal_Reading_Group We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week. Huấn luyện & fine-tune | 515 | — |
| 2828 | SU subho406/OmniNet Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain Huấn luyện & fine-tune | 515 | — |
| 2829 | AM amineHorseman/facial-expression-recognition-using-cnn Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream Huấn luyện & fine-tune | 515 | — |
| 2830 | NV | 515 | — |
| 2831 | PH | 515 | — |
| 2832 | CH chaiyujin/glow-pytorch pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions" Huấn luyện & fine-tune | 514 | — |
| 2833 | SN sniklaus/softmax-splatting an implementation of softmax splatting for differentiable forward warping using PyTorch Huấn luyện & fine-tune | 514 | — |
| 2834 | YX yxlu-0102/MP-SENet Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement Huấn luyện & fine-tune | 513 | — |
| 2835 | WA WangQvQ/YOLOMagic YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks. Huấn luyện & fine-tune | 513 | — |
| 2836 | SJ | 513 | — |
| 2837 | RO RobvanGastel/dinov3-finetune Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA) Huấn luyện & fine-tune | 512 | — |
| 2838 | PI PinataFarms/DAD-3DHeads Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022). Huấn luyện & fine-tune | 512 | — |
| 2839 | HE hemingkx/CLUENER2020 A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition. Huấn luyện & fine-tune | 512 | — |
| 2840 | YI yihong-chen/neural-collaborative-filtering pytorch version of neural collaborative filtering Huấn luyện & fine-tune | 512 | — |
| 2841 | ER | 512 | — |
| 2842 | TW twtygqyy/pytorch-SRResNet pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802 Huấn luyện & fine-tune | 511 | — |
| 2843 | AR | 511 | — |
| 2844 | CY cydonia999/VGGFace2-pytorch PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age' Huấn luyện & fine-tune | 510 | — |
| 2845 | WV wvangansbeke/Sparse-Depth-Completion Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019] Huấn luyện & fine-tune | 510 | — |
| 2846 | OP OpenDriveLab/PersFormer_3DLane [ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection Huấn luyện & fine-tune | 510 | — |
| 2847 | RA raoyongming/GFNet [NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification Huấn luyện & fine-tune | 510 | — |
| 2848 | MA | 510 | — |
| 2849 | OF official-stockfish/nnue-pytorch Stockfish NNUE (Chess evaluation) trainer in Pytorch Huấn luyện & fine-tune | 509 | — |
| 2850 | MA madalinabuzau/tensorflow-eager-tutorials Simple tutorials for building neural networks with TensorFlow Eager mode. Huấn luyện & fine-tune | 509 | — |