pengjuRen99

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

awesome-machine-learning-1

Learning Resources And Links Of Machine Learning（updating）

machine-learning-deep-learning-notes

机器学习、深度学习的学习路径及知识总结

Raman-ConvMSANet

A High-Accuracy Neural Network for Raman Spectroscopy Blood and Semen Identification

OpenMMLabCourse

OpenMMLab course index and stuff

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

bacteria-ID

Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

unilm

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

GFNet

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

ShuffleNet-Series

spectrochempy

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

gpt4all

gpt4all: run open-source LLMs anywhere

ConvNeXt-V2

Code release for ConvNeXt V2 model

RevCol

Official Code of Paper "Reversible Column Networks" "RevColv2"

ConvNeXt

Code release for ConvNeXt model

Comparing-End-to-End-Machine-Learning-Methods-for-Spectra-Classification

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

lshort-zh-cn

A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

ParallelsDesktopCrack

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

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

vision_transformer

TensorFlow2.0_InceptionV3

A TensorFlow_2.0 implementation of InceptionV3.