Pinned Repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
bokeh
Interactive Data Visualization in the browser, from Python
causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
causallib
A Python package for modular causal inference analysis and model evaluations
CoilSystemPython
A Python3-based program for controlling magnetic microrobots with electromagnetic coils.
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
CS294
homework for CS294 Fall 2017
hcao720's Repositories
hcao720/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
hcao720/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
hcao720/bokeh
Interactive Data Visualization in the browser, from Python
hcao720/CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
hcao720/cxplain
Causal Explanations (CXPlain) is a method for explaining the predictions of any machine-learning model.
hcao720/deep_learning_object_detection
A paper list of object detection using deep learning.
hcao720/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
hcao720/FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
hcao720/homework
Assignments for CS294-112.
hcao720/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
hcao720/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
hcao720/Machine-Learning-is-ALL-You-Need
🔥🌤🪐《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, pytorch, tensorflow, keras & the most important, from scratch!💪 This repository is ALL You Need!
hcao720/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
hcao720/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
hcao720/meta-dataset
A dataset of datasets for learning to learn from few examples
hcao720/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
hcao720/pgm-spring-2019
Course webpage for PGM, Spring 2019.
hcao720/pydmps
hcao720/pyrobot
PyRobot: An Open Source Robotics Research Platform
hcao720/Python
My Python Examples
hcao720/PythonRobotics
Python sample codes for robotics algorithms.
hcao720/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
hcao720/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
hcao720/reward-learning-rl
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering
hcao720/rlkit
Collection of reinforcement learning algorithms
hcao720/robInfLib-matlab
Kernelized Movement Primitives (KMP)
hcao720/robot_learning
ROS package for robot learning
hcao720/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
hcao720/sparse_artefact_unet
hcao720/UNet-family
Paper and implementation of UNet-related model.