Stars
Minimal examples of data structures and algorithms in Python
All Algorithms implemented in Python
The Open Cookbook for Top-Tier Code Large Language Model
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Awesome Incremental Learning
Implementation of "High Speed and Robust RGB-Thermal Tracking via Dual Attentive Stream Siamese Network" on Pytorch.
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)
[ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
EVA Series: Visual Representation Fantasies from BAAI
paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
HuggingLLM, Hugging Future.
✨✨Latest Advances on Multimodal Large Language Models
The simplest way to run LLaMA on your local machine
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Instruct-tune LLaMA on consumer hardware
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
This is the code for the paper "Cross-modal Ambiguity Learning for Multimodal Fake News Detection" of WWW2022.
A Multimodal Repository for COVID-19 News Credibility Research