merrymercy Goto Github PK
Name: Lianmin Zheng
Type: User
Company: xAI
Bio: Training by day, inference by night.
Twitter: lm_zheng
Location: Bay Arena, CA
Blog: http://lmzheng.net
Name: Lianmin Zheng
Type: User
Company: xAI
Bio: Training by day, inference by night.
Twitter: lm_zheng
Location: Bay Arena, CA
Blog: http://lmzheng.net
Training and serving large-scale neural networks
A Framework for Model-Backed Generators. Backend for AutoPandas (https://autopandas.io)
A curated list for Efficient Large Language Models
A list of awesome compiler projects and papers for tensor computation and deep learning.
Backprop with Low-Precision Activations
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
A compiler for the course Compiler 2017 at ACM Class, SJTU.
testcase for PPCA 2017 deep learning system
A common bricks library for building scalable and portable distributed machine learning.
Stanford DSPy: The framework for programming—not prompting—foundation models
Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
FlashInfer: Kernel Library for LLM Serving
A distributed deep learning framework that supports flexible parallelization strategies.
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.
A simple implementation of the Google File System in golang
a language for fast, portable data-parallel computation
Symbolic Expression and Statement Module for new DSLs
Code for the paper "Evaluating Large Language Models Trained on Code"
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Config files for my GitHub profile.
personal website
Mesh TensorFlow: Model Parallelism Made Easier
A Simple & Flexible Cross Framework Operators Toolkit
MONeT framework for reducing memory consumption of DNN training
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
An interactive book on deep learning. Much easy, so MXNet. Wow.
Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.