Lepaulski's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
ColossalAI
Making large AI models cheaper, faster and more accessible
mmdetection
OpenMMLab Detection Toolbox and Benchmark
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Awesome-GitHub-Repo
收集整理 GitHub 上高质量、有趣的开源项目。
flash-attention
Fast and memory-efficient exact attention
llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
PythonPark
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
lm-evaluation-harness
A framework for few-shot evaluation of language models.
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
Lee-SLAM-source
SLAM 开发学习资源与经验分享
PytorchOCR
基于Pytorch的OCR工具库,支持常用的文字检测和识别算法
TensorRT-Model-Optimizer
TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.
flickr_scraper
Simple Flickr Image Scraper
accurate-head-pose
Pytorch code for Hybrid Coarse-fine Classification for Head Pose Estimation