wzb1005

LeetCode-Py

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

leetcode

LeetCode Problems' Solutions

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

mmcv

OpenMMLab Computer Vision Foundation

FaceX-Zoo

A PyTorch Toolbox for Face Recognition

Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

leetcode

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

SViTE

[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

DeepLearningModels-Keras

Implement Classical Deep Learning Models Using Keras

cocoapi

COCO API - Dataset @ http://cocodataset.org/

Gesture-Recognition

Gesture recognition neural network to classify various hand gestures

libfm

Library for factorization machines

google-research

Google Research

YOLOv3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

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

automl

Google Brain AutoML

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ShuffleNet-Series

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

ivf-hnsw

Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

Two-phase-scheme-CNN

Two-phase Scheme for Trimming QTMT CU Partition using Multi-branch Convolutional Neural Networks

WAGE

Code example for the ICLR 2018 oral paper

BReLU

ETH-CNN-Acceleration

Source codes for accelerate the ETH-CNN model. A related journal paper is published on IEEE TIP 2020.

Caffe-YOLOv3-Windows

A windows caffe implementation of YOLO detection network

caffe-windows

Configure Caffe in one hour for Windows users.