LeiBAI's Stars
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
mli/paper-reading
深度学习经典、新论文逐段精读
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
lucasjinreal/yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
johannfaouzi/pyts
A Python package for time series classification
JunMa11/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
TorchSSL/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
TheShadow29/awesome-grounding
awesome grounding: A curated list of research papers in visual grounding
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
kevinzakka/pytorch-goodies
PyTorch Boilerplate For Research
HazyResearch/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
ikostrikov/pytorch-flows
PyTorch implementations of algorithms for density estimation
JunMa11/MedUncertainty
Uncertainty in Medical Image Analysis
Khrylx/AgentFormer
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
gorkemalgan/deep_learning_with_noisy_labels_literature
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
liuquande/FedDG-ELCFS
[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
jwwthu/DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
uvavision/Curriculum-Labeling
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
paultsw/nice_pytorch
Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
salesforce/MoPro
MoPro: Webly Supervised Learning
JHL-HUST/TITer
Adaptive-RL/AdaRL-code
Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.
Davidham3/open-traffic-datasets
open traffic datasets
JindouDai/H2H-GCN
psellcam/LaplaceNet
A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification