wolverine656 (lisiyuan656)

lisiyuan656

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Company:Sensetime

Location:Beijing, China

Home Page:http://lisiyuan656.github.io

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wolverine656's repositories

dieta

This is an Android app that can estimate calories and nutrients of the food by taking photos and directly texting.

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Gesture-Recognizer

A gesture recognizer system

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Speaker-Recognizer

A speaker recognizer

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basana

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

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botty

D2R Pixel Bot

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datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

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ebookdroid

Clone of the Google Code SVN repo (http://code.google.com/p/ebookdroid/)

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FirebaseUI-Android

UI bindings for Firebase

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FlappyBirdRL

Flappy Bird hack using Reinforcement Learning

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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How-to-Make-a-Computer-Operating-System

How to Make a Computer Operating System in C++

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learning-to-learn

Learning to Learn in TensorFlow

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lisiyuan656.github.io

My personal blog

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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minix

Official MINIX sources - Automatically replicated from gerrit.minix3.org

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Neural-Networks-for-Machine-Learning-in-Python

Assignments from Geoffrey Hinton's NN course translated into Python

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Practical_RL

A course in reinforcement learning in the wild

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

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RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

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tensorflow

Computation using data flow graphs for scalable machine learning

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