My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Keras implementations of Generative Adversarial Networks.

High-quality implementations of standard and SOTA methods on a variety of tasks.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Data Augmentation For Object Detection

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

A game theoretic approach to explain the output of any machine learning model.

A complete computer science study plan to become a software engineer.

A collection of computer vision pre-trained models.

Most popular metrics used to evaluate object detection algorithms.

Building a Bayesian deep learning classifier

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

list the paper for recently anchor free detector

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Tensorflow implementation of Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network.

Keras code and weights files for popular deep learning models.

A Keras port of Single Shot MultiBox Detector

Localization Recall Precision Performance Metric toolkit for PASCAL-VOC, COCO datasets with Python and MATLAB implementations.

An open autonomous driving platform

The Udacity open source self-driving car project

The devkit of the nuScenes dataset.