- NJU(Nanjing University)
- Nanjing, China
- 22:09
(UTC +08:00) - https://deep1994.github.io/
Stars
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Making large AI models cheaper, faster and more accessible
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
TensorFlow code and pre-trained models for BERT
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
verl: Volcano Engine Reinforcement Learning for LLMs
PyTorch implementations of Generative Adversarial Networks.
Train transformer language models with reinforcement learning.

