emmonscurse Goto Github PK

ai-rank

面向产业应用的AI开源评测基准

apachecn-dl-zh

ApacheCN 深度学习译文集

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-mlops-1

A curated list of references for MLOps

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

chatglm2-6b

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

continuous_integration

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

jetson_benchmarks

Jetson Benchmark

madewithml

Learn how to responsibly deliver value with ML.

mlopspython

MLOps using Azure ML Services and Azure DevOps

modelops

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddle-inference-demo

paddleclas

A treasure chest for visual classification and recognition powered by PaddlePaddle

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

paddlemix

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

paddletest

PaddlePaddle TestSuite

python

All Algorithms implemented in Python

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习