wan-xiaohui Goto Github PK

1_reinfocement_learing_basics_gym

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adjustedtrustscore4sdp

adversarialnetspapers

The classical papers and codes about generative adversarial nets

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

code_transformers

Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

codes-on-machine-learning

My codes on Machine Learning

dc4sdp

This project conducts an empirical study to estimate the hardness of over 33,000 instances, employing a set of measures to characterize the inherent difficulty of instances and the characteristics of defect datasets.

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

deeplearningcoursecodes

deeplearningcoursecodes-1

Notes, Codes, and Tutorials for the Deep Learning Course at ChinaHadoop

deeprl-1

【深度强化学习社区】一个资料与学习内容最全的服务平台

deepxplore-features

Feature implementation on white-box DL systems testing framework for Software Engineering Senior Design class

dl4se

A Systematic Literature Review of Deep Learning in Software Engineering

drlfuzz

dslinter

`dslinter` is a pylint plugin for linting data science and machine learning code. We support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy and SciPy.

effectivetensorflow

TensorFlow tutorials and best practices.

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

lightweight-effectiveness

Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators

maca

models

Models and examples built with TensorFlow

notes-on-machine-learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

smellml

SmellML is a tool that combines different code smelling tools for python into a nice, compact, push button tool.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.