Deep Learning for humans

Deepfakes Software For All

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Python sample codes and textbook for robotics algorithms.

微信《跳一跳》Python 辅助

机器学习相关教程

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

《剑指Offer》面试题Python实现

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Deep Neuroevolution

nlp in action

DAGs with NO TEARS: Continuous Optimization for Structure Learning

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

慕课网的实战课程“算法与数据结构“的全python实现

Evolution Strategies in PyTorch

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

Our insights of Openpilot, a deepdive project on it

A tiny, didactical implementation of LLAMA 3

The DRIP Toolkit (DTK) identifies tandem mass spectra utilizing a Dynamic Bayesian network for Rapid Identification of Peptides (DRIP). DTK performs efficient dynamic Bayesian network (DBN) inferen…

手写朴素贝叶斯垃圾短信识别算法，使用Flask实现了网页做简单展示。

Fork of https://gitlab.lrz.de/tum-cps/opendrive2lanelet

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

针对常见的BAT公司中的大数据面试和笔试问题，列出解决思路，并使用python来实现

用RL+NN实现TSP求解PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

强化学习！！！This code is written for the blogs