XueFuzhao

OpenMoE

A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

awesome-mixture-of-experts

A collection of AWESOME things about mixture-of-experts

InstructionWild

GDPNet

WideNet_Code

Implementation of AAAI 2022 Paper: Go wider instead of deeper

HowToRunScenic

t5x

flaxformer

SimpleRE

VILA-Benchmarking

VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

bert

Bert_related

Data preparations for training Bert

bert_repo

BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

code-eval

Run evaluation on LLMs using human-eval benchmark

ColossalAI

Making big AI models cheaper, easier, and scalable

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

nusthesis

A LaTeX template for thesis of the National University of Singapore (NUS)

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

tianshou

An elegant PyTorch deep reinforcement learning library.

xmanager

A platform for managing machine learning experiments

XueFuzhao

XueFuzhao.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes