fmx789 Goto Github PK

----ufldl----

UFLDL深度学习代码

100-days-of-ml-code

100 Days of ML Coding

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

a-to-z-resources-for-students

Curated list of resources for college students

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

adabound

An optimizer that trains as fast as Adam and as good as SGD.

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

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, ... 🧠

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

awesome-cv-resources

CV领域实验室、数据库、资源

awesome-iccv2019

ICCV2019最新录用情况

awesome-image-inpainting

A curated list of image inpainting and video inpainting papers and resources

awesome-papers

a list of papers and codes in graphics, computer vision, and HCI

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

bokeh

Interactive Data Visualization in the browser, from Python

books

Books worth reading

compare_gan

Compare GAN code.

conquer

A todo list app base Material Design

cs-notes

:books: 技术面试必备基础知识、Leetcode、Java、C++、Python、后端面试、计算机操作系统、计算机网络、系统设计

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

csinva.github.io

Slides, notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

data-science-study-paths-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deepdream