zeyuanyin Goto Github PK

advice

A repository of links with advice related to grad school applications, research, phd etc

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-lm-ssp

A reading list for large models safety, security, and privacy.

bib_parse

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

clashx-v2ray-topfreeproxy

Top free VPN (ClashX & V2Ray proxy) with subscription links. [免费VPN、免费梯子、免费科学上网、免费订阅链接、免费节点、精选、ClashX & V2Ray 教程]

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gtp

Generate Targeted Perturbations

hust-cs-thesis

LaTeX dissertation template for HUST undergraduate students majoring in CS.

hw0

hw1

hw2

hw3

keybert

Minimal keyword extraction with BERT

lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

llm.c

LLM training in simple, raw C/CUDA

lth-backdoor

[Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis

ml708-week6-lab-code

ml801

MBZUAI 2023Fall ML801 Lab (Deep Learning Part)

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmengine

https://github.com/open-mmlab/OpenMMLabCamp/discussions/666

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

module-0

Module 0 - Fundamentals

module-1

Module 1 - Autodifferentiation

module-2

Module 2 - Tensors