haolin-nju
Previous: Bachelor and Master @ NJU Current: R&D Engineer @ PAI, Aliyun
Aliyun Computing Co. Ltd.Hangzhou, Zhejiang, China
Pinned Repositories
ChatLearn
A flexible and efficient training framework for large-scale alignment tasks
AI-System
System for AI Education Resource.
alpa
Auto parallelization for large-scale neural networks
BigDataExp
This is our Big Data Experiment in NJU.
byteps
A high performance and generic framework for distributed DNN training
CalabashKidVSMonsters
葫芦娃大战妖精游戏
Megatron-LM
Ongoing research training transformer models at scale
NJU-Review
Notes I prepared for final examinations at NJU CS.（我的南京大学计算机系期末复习材料）
NJUTuringMachine
Toy Turing Machine for Introduction to Computing Theory of NJU CS. 南京大学计算机系研究生课程《计算理论导引》玩具图灵机
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
haolin-nju's Repositories
haolin-nju/NJU-Review
Notes I prepared for final examinations at NJU CS.（我的南京大学计算机系期末复习材料）
haolin-nju/BigDataExp
This is our Big Data Experiment in NJU.
haolin-nju/NJUTuringMachine
Toy Turing Machine for Introduction to Computing Theory of NJU CS. 南京大学计算机系研究生课程《计算理论导引》玩具图灵机
haolin-nju/CalabashKidVSMonsters
葫芦娃大战妖精游戏
haolin-nju/AI-System
System for AI Education Resource.
haolin-nju/alpa
Auto parallelization for large-scale neural networks
haolin-nju/byteps
A high performance and generic framework for distributed DNN training
haolin-nju/haolin-nju.github.io
Hao Lin's personal Homepage
haolin-nju/Megatron-LM
Ongoing research training transformer models at scale
haolin-nju/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
haolin-nju/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
haolin-nju/docs
Documentations for PaddlePaddle
haolin-nju/EasyParallelLibrary
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
haolin-nju/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
haolin-nju/ExploreML100k
haolin-nju/gloo
Collective communications library with various primitives for multi-machine training.
haolin-nju/googletest
GoogleTest - Google Testing and Mocking Framework
haolin-nju/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
haolin-nju/java20-homework
haolin-nju/json
JSON for Modern C++
haolin-nju/legion
The Legion Parallel Programming System
haolin-nju/lingvo
Lingvo
haolin-nju/nccl
Optimized primitives for collective multi-GPU communication
haolin-nju/nju-thesis
南京大学学位论文XeLaTeX模板
haolin-nju/optional
C++11/14/17 std::optional with functional-style extensions and reference support
haolin-nju/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
haolin-nju/pipedream
haolin-nju/piper
haolin-nju/pybind11
Seamless operability between C++11 and Python
haolin-nju/variant
C++17 `std::variant` for C++11/14/17