Extensions to LINQ to Objects

A toolset for use the specification pattern in LINQ queries.

A lightweight subset of oData querystring conventions that works with any IQueryable

Dapper.Linq

A Language Integrated Query (LINQ) provider for the Couchbase .NET SDK

C# library to serialize LINQ expressions

Popular, easy to use library to read and write CSV files.

Asynchronous LINQ-to-SQL query execution framework - WIP

A DDEX provider for Microsoft.Data.Sqlite

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…

A high-throughput and memory-efficient inference and serving engine for LLMs

🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.

An unofficial DeepSeek VS code extension

A script that clones voices using AI and deep learning.

A collection of fundamental machine learning algorithms implemented in Python, covering regression, classification, clustering, reinforcement learning, NLP, dimensionality reduction, deep learning,…

Optimizing Deep Neural Networks: The Role of Gradient Centralization in Training and Generalization

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…

Natural Language Processing Tutorial for Deep Learning Researchers

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Code samples for my book "Neural Networks and Deep Learning"

A collection of various deep learning architectures, models, and tips

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

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）