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12306

12306智能刷票，订票

3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

abnormal_environment_detection

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

adaptivewingloss

[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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！

alicemind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

alphagen

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

angular-triplet-center-loss

Angular triplet center loss implementation in Pytorch.

asff

yolov3 with mobilenet v2 and ASFF

auto_gen_video

给定文本和图片，自动生成一个相应的含字幕的短视频。完全自动化，可批量生成

automl

Google Brain AutoML

autonl

Code for AutoNL on ImageNet (CVPR2020)

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

backtrader_fund

基于akshare和backtrader的回测。

beautycamera

美颜相机，具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能

benchmarks

Benchmark code

bluetooth-joycon

用蓝牙Android9/LinuxBluez模拟NintendoSwitch的Pro手柄(Using Bluetooth to simulate a NintendoSwitch Pro-Controller)

bnas

Official PyTorch Implementation of Learning Architectures for Binary Networks (https://arxiv.org/abs/2002.06963) - ECCV2020 To Appear

bottlenecktransformers

Bottleneck Transformers for Visual Recognition

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-better

An easy to understand and better performance version of CenterNet

centernet2

Two-stage CenterNet

changenet_arishin

Implementation of the ChangeNet paper

cnn-visualization

Visualize How Convolutional Neural Networks Work with Keras

compression-techniques-for-deep-neural-networks

Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & Pruning.

cpp-pytorch

A bite of cpp api in PyTorch-1.0