Martin Guo's repositories
code-files
This repository contains the starting code files and solutions of the book D3.js in Action, third edition.
Stat101
Stat101
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
clash_for_windows
Fndroid/clash_for_windows_pkg/releases 最后备份文件
web3-awesome
web3百科全书👏🏻 打造 web3 全球第一中文资源
Reinforcement-Learning-Maze
Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
d3rlpy
An offline deep reinforcement learning library
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ECE661_FinalProject
For ECE 661 FinalProject
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
pytorch-cifar
95.47% on CIFAR10 with PyTorch
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
pytorchTutorial
PyTorch Tutorials from my YouTube channel
Capstone_DRL
Capstone For Deep Reinforcement Learning in Finance
New-Grad-Positions-2022
A collection of New Grad full time roles in SWE, Quant, and PM.
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
Next-JS-Tutorials
Source code related to the Next.js tutorial series on YouTube
RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
ids705
Principles of Machine Learning (IDS705, Spring 2021). Masters of Interdisciplinary Data Science. Duke University
701GoldTeam
701GoldTeam