implus

PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

GFocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

GFocalV2

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

UM-MAE

Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

mae_segmentation

reproduction of semantic segmentation using masked autoencoder (mae)

RecursiveMix-pytorch

Official Codes and Pretrained Models for RecursiveMix

CarDetectionExample

Sinovation Ventures Challenge

algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

ConvNeXt

Code release for ConvNeXt model

deep-finance

Deep Learning for Finance

git_learn

implus.github.io

implus' blog

PostDocRep

Document class for the submission of the Final Postdoctoral Report for the Institute of Theoretical Physics, Chinese Academy of Sciences

PVT

VAN-Classification

xsimd

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

loss-landscape

Code for visualizing the loss landscape of neural nets

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

PlotNeuralNet

Latex code for making neural networks diagrams

PyTorch-Encoding

A PyTorch CV Toolkit

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

robin_stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

SegmenTron

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities