Ethan_xu's starred repositories

mlflow

Open source platform for the machine learning lifecycle

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awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

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SUPERSONIC

SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise.

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CompilerGym

Reinforcement learning environments for compiler and program optimization tasks

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

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onnx

Open standard for machine learning interoperability

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ColossalAI

Making large AI models cheaper, faster and more accessible

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simgrid

MIRROR of the SimGrid framework, for the simulation of distributed applications (Clouds, HPC, Grids, IoT and others). Most of the dev occurs on FramaGit.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

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graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

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Megatron-LM

Ongoing research training transformer models at scale

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NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

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SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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DI-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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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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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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advisor

Open-source implementation of Google Vizier for hyper parameters tuning

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or-tools

Google's Operations Research tools:

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gperftools

Main gperftools repository

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996.Leave

逃离996

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design-patterns-cpp

C++ Design Patterns

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Reinforcement-Learning---Policy-Gradient

the implementation of Policy Gradient

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DRL

Deep Reinforcement Learning

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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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 Implementation of Reinforcement Learning: An Introduction

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