Wjh70301

Pinned Repositories

A_Gentle_Introduction_To_Robotics_With_mBlock_and_mBot
This repository houses the source code for the eBook "A Gentle Introduction to Robotics with mBlock and the mBot"
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AGB
These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
Language:Jupyter Notebook00
Algojammer
An experimental code editor for writing algorithms
Language:C++00
Applying_EANNs
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Language:ASP00
berkeley-cs294
Assignments for CS294-112.
Language:Jupyter Notebook00
bitpredict
Machine learning for high frequency bitcoin price prediction
Language:Python0 2 00
chessendgametraining
Chess Endgame Traininng: app to practice a variety of well organized set of chess endgames. From elementary to the most complex endgames, you can practice until you learn how to face all of them.
Language:TypeScript00
clr_prediction
Language:Python00
course-nlp
A Code-First Introduction to NLP course
Language:Jupyter Notebook00
CS224N-2019
My completed implementation solutions for CS224N 2019
Language:JavaScript00

Wjh70301's Repositories

Wjh70301/AGB
These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
Language:Jupyter Notebook00
Wjh70301/berkeley-cs294
Assignments for CS294-112.
Language:Jupyter Notebook00
Wjh70301/chessendgametraining
Chess Endgame Traininng: app to practice a variety of well organized set of chess endgames. From elementary to the most complex endgames, you can practice until you learn how to face all of them.
Language:TypeScript00
Wjh70301/course-nlp
A Code-First Introduction to NLP course
Language:Jupyter Notebook00
Wjh70301/CS224N-2019
My completed implementation solutions for CS224N 2019
Language:JavaScript00
Wjh70301/csc421_2019
http://www.cs.toronto.edu/~rgrosse/courses/csc421_2019/
Wjh70301/cswithdaniel
Four levels of Java classes are designed and offered by High School Student Daniel Li (USA Computing Olympiad finalist) to cover all of the material needed to take the AP Computer Science A exam.
Wjh70301/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Wjh70301/DeepInterestNetwork
Wjh70301/DeepLearning
Deep Learning introduction and its application in various fields
Wjh70301/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Wjh70301/git
Language:Python
Wjh70301/Intro_to_ML_Lecture_Note
Wjh70301/leela-chess-weights
Important Weights and Ratings
Wjh70301/machine-learning-systems-design
A booklet on machine learning systems design with exercises
Wjh70301/mit-statistics-for-applications
Wjh70301/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Wjh70301/pytorch-Deep-Learning-Minicourse
Wjh70301/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Wjh70301/sandbox
sandbox
Language:Python
Wjh70301/sandbox-john
Language:Python
Wjh70301/SQL-SQL_Zoo
Tutorial exercises completed from http://sqlzoo.net/
Wjh70301/stanford-cs20si-tensorflow-for-deep-learning-research
Wjh70301/stanford-cs224n
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
Wjh70301/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
Wjh70301/stanford-cs231n
Exercise answers to the problem sets from CS231n: Convolutional Neural Networks for Visual Recognition, 2016
Wjh70301/stanford-cs234
Wjh70301/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Wjh70301/system_design
Preparation links and resources for system design questions
Wjh70301/write-yourself-a-git
Learn Git by reimplementing it from scratch