mysteven2017

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

CLRS

:notebook:Solutions to Introduction to Algorithms

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

100-Days-Of-ML-Code-1

100-Days-Of-ML-Code中文版

PRML

PRML algorithms implemented in Python

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Using-News-to-Predict-Stock-Movements-Two-Sigma-

deepbayes-2018

Seminars DeepBayes Summer School 2018

100-Days-Of-ML-Code

100 Days of ML Coding

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

100-Days-of-ML-Code-Chinese-Version

Chinese Translation for Machine Learning Infographics

Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

apollo

An open autonomous driving platform

deeplearning_edu

example code for deep learning and tensorflow

Machine-Learning-1

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Paddle

PArallel Distributed Deep LEarning

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

gluon-tutorials-zh

通过 MXNet / Gluon 来动手学习深度学习

Machine-Learning

机器学习相关资料

MLND

Projects of Machine Learning from Udacity

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Udacity-MLND-Project-5-Capstone

Using machine learning to predict the directionality of the S&P500 Stock Market Index

Capstone

My capstone project for Udacity Machine Learning Nanodegree

creating_customer_segments

udacity project.

py4fi

Python for Finance (O'Reilly)