chenhan510 Goto Github PK

ai-surveys

整理AI相关领域的一些综述

amortizedcausaldiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

arxausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

asm-pytorch

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria

awesome-causal-inference

A curated list of awesome work on causal inference, particularly in machine learning.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-kgqa

A collection of some materials of knowledge graph question answering

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-quantum-ml

Curated list of awesome papers and resources in quantum machine learning

awesome-remote-sensing-change-detection

List of datasets, codes, papers, and contests related to remote sensing change detection

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causal_discovery_for_time_series

Causal discovery for time series

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

chenhanxi

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

crazyjava

疯狂java 讲义光盘代码

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deep-reasoning-papers

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-symbolic-optimization

Source code for deep symbolic optimization.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

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.

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

geomstats

Computations and statistics on manifolds with geometric structures.