GPT
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Interact with your documents using the power of GPT, 100% privately, no data leaks
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
An Autonomous LLM Agent for Complex Task Solving
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The official PyTorch implementation of Google's Gemma models
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Open-Sora: Democratizing Efficient Video Production for All
A batched offline inference oriented version of segment-anything
[ICCV 2023] UniVTG: Towards Unified Video-Language Temporal Grounding
High accuracy RAG for answering questions from scientific documents with citations
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
NeMo Retriever extraction is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever extraction uses specialized NVIDIA NIM microservices to find, con…
Run PyTorch LLMs locally on servers, desktop and mobile
A modular graph-based Retrieval-Augmented Generation (RAG) system
Fully open reproduction of DeepSeek-R1
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, e…
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

