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Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
🦜🔗 The platform for reliable agents.
Protocol Buffers - Google's data interchange format
Examples and guides for using the OpenAI API
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
We write your reusable computer vision tools. 💜
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
OpenMMLab Detection Toolbox and Benchmark
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Code for the paper "Language Models are Unsupervised Multitask Learners"
Open-source search and retrieval database for AI applications.