Wjh70301/xgb2cpp Fork of popcorn/xgb2cpp

Converts XGBoost raw model dumps to C++ code.

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Wjh70301/write-yourself-a-git Fork of thblt/write-yourself-a-git

Learn Git by reimplementing it from scratch

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Wjh70301/system-design-primer Fork of donnemartin/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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Wjh70301/swift-playground-books Fork of dbbudd/swift-playground-books

Language: Swift - Size: 1.35 MB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Wjh70301/tinygbt Fork of lancifollia/tinygbt

A Tiny, Pure Python implementation of Gradient Boosted Trees.

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Wjh70301/tensorflow-workshop Fork of random-forests/tensorflow-workshop

Slides and code from our TensorFlow workshop.

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Wjh70301/system_design Fork of shashank88/system_design

Preparation links and resources for system design questions

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Wjh70301/stanford-cs234 Fork of zyxue/stanford-cs234

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Wjh70301/stanford-cs20si-tensorflow-for-deep-learning-research Fork of zyxue/stanford-cs20si-tensorflow-for-deep-learning-research

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Wjh70301/stanford-cs231n Fork of zyxue/stanford-cs231n

Exercise answers to the problem sets from CS231n: Convolutional Neural Networks for Visual Recognition, 2016

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Wjh70301/stat212b Fork of joanbruna/stat212b

Topics Course on Deep Learning UC Berkeley

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Wjh70301/stanford-cs229 Fork of zhuangaili/stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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Wjh70301/SQL-SQL_Zoo Fork of edsfocci/SQL-SQL_Zoo

Tutorial exercises completed from http://sqlzoo.net/

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Wjh70301/stanford-cs224n Fork of zyxue/stanford-cs224n

Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)

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Wjh70301/skorch Fork of skorch-dev/skorch

A scikit-learn compatible neural network library that wraps pytorch

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Wjh70301/shallow-linear-net Fork of benjamin-recht/shallow-linear-net

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Wjh70301/SantaStolenSleigh Fork of woshialex/SantaStolenSleigh

Santa's Stolen Sleigh competition

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Wjh70301/SdLBFGS Fork of harryliew/SdLBFGS

Language: Python - Size: 37.1 KB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

Wjh70301/Seeing-Theory Fork of seeingtheory/Seeing-Theory

A visual introduction to probability and statistics.

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Wjh70301/pytorch-tutorial Fork of yunjey/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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Wjh70301/sandbox

sandbox

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Wjh70301/pytorch Fork of pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Wjh70301/Practical_RL Fork of yandexdataschool/Practical_RL

A course in reinforcement learning in the wild

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Wjh70301/pyro Fork of pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

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Wjh70301/PyML Fork of gf712/PyML

Machine Learning algorithms in Python and C/C++ written from scratch using the respective standard libraries

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Wjh70301/psgd_tf Fork of lixilinx/psgd_tf

Tensorflow implementation of preconditioned stochastic gradient descent

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Wjh70301/onlineNPCORR Fork of wxiao0421/onlineNPCORR

Batch and online algorithms for nonparametric correlations such as Spearman's rank correlation and Kendall's tau correlation

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Wjh70301/sandbox-john

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Wjh70301/pytorch-Deep-Learning-Minicourse

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Wjh70301/numerical-linear-algebra-v2 Fork of fastai/numerical-linear-algebra-v2

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

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Wjh70301/node-binance-trader Fork of bitcoinvsalts/node-binance-trader

🤖 An efficient cryptocurrency trading Bot for Binance using Node.JS 💰

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Wjh70301/mit-statistics-for-applications Fork of zyxue/mit-statistics-for-applications

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Wjh70301/machine-learning-systems-design Fork of chiphuyen/machine-learning-systems-design

A booklet on machine learning systems design with exercises

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Wjh70301/magenta Fork of magenta/magenta

Magenta: Music and Art Generation with Machine Intelligence

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Wjh70301/machine_learning_recipes Fork of cassiobotaro/machine_learning_recipes

:space_invader: Code developed in video series "Machine Learning Recipes", eventually with some personal comments and annotations.

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Wjh70301/leela-chess-weights Fork of dkappe/leela-chess-weights

Important Weights and Ratings

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Wjh70301/learngit

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Wjh70301/L0Learn Fork of hazimehh/L0Learn

Efficient Algorithms for L0 Regularized Learning

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Wjh70301/kaggle_titanic

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Wjh70301/Kaggle_HomeDepot Fork of ChenglongChen/kaggle-HomeDepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

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Wjh70301/Intro_to_ML_Lecture_Note Fork of nyu-dl/Intro_to_ML_Lecture_Note

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Wjh70301/gitskills

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Wjh70301/hyperopt Fork of hyperopt/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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Wjh70301/Dive-into-DL-PyTorch Fork of ShusenTang/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。

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Wjh70301/diagnose-heart Fork of woshialex/diagnose-heart

Solution to win the second Annual Data science bowl

Language: Python - Size: 17 MB - Last synced: 2 months ago - Pushed: about 8 years ago - Stars: 0 - Forks: 0

Wjh70301/deepvariant Fork of google/deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Language: Python - Size: 6.34 MB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Wjh70301/dhtmlchess Fork of DHTMLGoodies/dhtmlchess

DHTML Chess software from dhtml-chess.com

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Wjh70301/george Fork of dfm/george

Fast and flexible Gaussian Process regression in Python

Language: Python - Size: 36.3 MB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

Wjh70301/dlopt Fork of acamero/dlopt

Deep learning architecture optimization

Language: Python - Size: 504 KB - Last synced: 2 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

Wjh70301/git

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Wjh70301/ensembleEN

Language: C++ - Size: 1.28 MB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Wjh70301/DeepLearning Fork of zhangruiskyline/DeepLearning

Deep Learning introduction and its application in various fields

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Wjh70301/DeepInterestNetwork Fork of zhougr1993/DeepInterestNetwork

Size: 94.4 MB - Last synced: 2 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

Wjh70301/d2l-pytorch Fork of dsgiitr/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

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Wjh70301/cswithdaniel Fork of cswithdaniel/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.

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Wjh70301/cs231n.github.io Fork of cs231n/cs231n.github.io

Public facing notes page

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Wjh70301/csc421_2019

http://www.cs.toronto.edu/~rgrosse/courses/csc421_2019/

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Wjh70301/course-nlp Fork of fastai/course-nlp

A Code-First Introduction to NLP course

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Wjh70301/CS224N-2019 Fork of Luvata/CS224N-2019

My completed implementation solutions for CS224N 2019

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Wjh70301/clr_prediction Fork of Kipok/clr_prediction

Language: Python - Size: 93.8 KB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Wjh70301/chessendgametraining Fork of supertorpe/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: TypeScript - Size: 6.67 MB - Last synced: 2 months ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

Wjh70301/berkeley-cs294 Fork of zyxue/berkeley-cs294

Assignments for CS294-112.

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Wjh70301/AGB Fork of lrouviere/AGB

These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.

Language: Jupyter Notebook - Size: 342 KB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Wjh70301/Algojammer Fork of ChrisKnott/Algojammer

An experimental code editor for writing algorithms

Language: C++ - Size: 11.4 MB - Last synced: 2 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

Wjh70301/Applying_EANNs Fork of ArztSamuel/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: ASP - Size: 19.7 MB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Wjh70301/A_Gentle_Introduction_To_Robotics_With_mBlock_and_mBot Fork of senestone/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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Wjh70301/inside-c Fork of tibbetts/inside-c

The Secret Life of C++: How C++ Compiles to Assembly

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Wjh70301/bitpredict Fork of cbyn/bitpredict

Machine learning for high frequency bitcoin price prediction

Language: Python - Size: 3.18 MB - Last synced: 2 months ago - Pushed: over 8 years ago - Stars: 0 - Forks: 0

Wjh70301/qblog Fork of henrywoo/qblog

Blog system for quant

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Wjh70301/word2vec

Automatically exported from code.google.com/p/word2vec

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Wjh70301/spearmint Fork of JasperSnoek/spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

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