joyes1989 Goto Github PK

9nfl

adx

github upload file

andrewng_videos

用来实现andrewNG视频中的部分算法

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

books

Just for learning. If I have offended you, please email me.

codingground

Main Repository for Coding Ground

conference

deeplearningbook-chinese

Deep Learning Book Chinese Translation

doc-ml-ufldl

Unsupervised Feature Learning and Deep Learning Tutorial

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.

eggroll

A Simple High Performance Compututing Framework for [Federated] Machine Learning

ensemblelearning

包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用

examples

Resources for getting started on Spell.

fate

An Industrial Level Federated Learning Framework

federated-learning-faq

folly

An open-source C++ library developed and used at Facebook.

gluon-tutorials-zh

自学-注解版gluon，源码--->

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

iam

企业级的 Go 语言实战项目：认证和授权系统（带配套课程）

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

inventorypredictproj

inventory test

jquery-file-upload

File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

linq

Linq for list comprehension in C++

machine-learning-course-in-ucas

国科大机器学习课程&机器学习笔记

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

machinelearningcourse

机器学习精简入门教程

machinelearningproj_self