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Xiaowei Hu (xiaowei-hu)

xiaowei-hu

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Location:Beijing, China

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Xiaowei Hu's starred repositories

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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paper-reading

深度学习经典、新论文逐段精读

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shap

A game theoretic approach to explain the output of any machine learning model.

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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Ad-papers

Papers on Computational Advertising

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contextualLoss

The Contextual Loss

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py-lapsolver

Fast linear assignment problem (LAP) solvers for Python based on c-extensions

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nn4nlp-code

Code Samples from Neural Networks for NLP

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minigo

An open-source implementation of the AlphaGoZero algorithm

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S-measure

Structure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight)

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system-design-primer

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

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game-programmer

A Study Path for Game Programmer

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CppPrimer

:books: Solutions for C++ Primer 5th exercises.

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acm-challenge-workbook

《挑战程序设计竞赛》习题册攻略

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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brpc

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

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pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

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pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

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pysc2

StarCraft II Learning Environment

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yolo2-pytorch

YOLOv2 in PyTorch

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deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

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AdaIN-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

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thefuck

Magnificent app which corrects your previous console command.

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