merrymercy Goto Github PK

alpa

Training and serving large-scale neural networks

atlas

A Framework for Model-Backed Generators. Backend for AutoPandas (https://autopandas.io)

awesome-efficient-llm

A curated list for Efficient Large Language Models

awesome-llm-system-papers

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

blpa

Backprop with Low-Precision Activations

chain-of-thought-hub

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

compiler2017

A compiler for the course Compiler 2017 at ACM Class, SJTU.

dl-system-test

testcase for PPCA 2017 deep learning system

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

dspy

Stanford DSPy: The framework for programming—not prompting—foundation models

dtr-prototype

Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616

flexflow

A distributed deep learning framework that supports flexible parallelization strategies.

gnark-crypto

gnark-crypto provides elliptic curve and pairing-based cryptography on BN, BLS12, BLS24 and BW6 curves. It also provides various algorithms (algebra, crypto) of particular interest to zero knowledge proof systems.

gogfs

A simple implementation of the Google File System in golang

halide

a language for fast, portable data-parallel computation

halideir

Symbolic Expression and Statement Module for new DSLs

instruct-eval

This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

merrymercy

Config files for my GitHub profile.

merrymercy.github.io

personal website

mesh

Mesh TensorFlow: Model Parallelism Made Easier

mobulaop

A Simple & Flexible Cross Framework Operators Toolkit

monet

MONeT framework for reducing memory consumption of DNN training

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

nalu

Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)

nnvm

Bring deep learning to bare metal

nums

A numerical computing library for python that scales.