haolin-nju Goto Github PK

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

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++

cs231n-study

This is my solution to CS231N from Stanford University.

cs294-ai-sys-fa19

CS294-162; Machine Learning Systems Seminar

dapple

An Efficient Pipelined Data Parallel Approach for Training Large Model

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

docs

Documentations for PaddlePaddle

easyparallellibrary

Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exploreml100k

gloo

Collective communications library with various primitives for multi-machine training.

googletest

GoogleTest - Google Testing and Mocking Framework

haolin-nju.github.io

Hao Lin's personal Homepage

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

java20-homework

json

JSON for Modern C++

legion

The Legion Parallel Programming System

lingvo

Lingvo

megatron-lm

Ongoing research training transformer models at scale

nccl

Optimized primitives for collective multi-GPU communication

nju-dissys-2017

Distributed System, Fall 2017, CS@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）

nju-thesis

南京大学学位论文XeLaTeX模板

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

onjava8

《On Java 8》中文版，又名《Java编程**》 第5版

optional

C++11/14/17 std::optional with functional-style extensions and reference support