🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Repository Index
47,133 repositories indexed
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Datasets, Transforms and Models specific to Computer Vision
Janus-Series: Unified Multimodal Understanding and Generation Models
- any-to-any
- foundation-models
- llm
- multimodal
Wan: Open and Advanced Large-Scale Video Generative Models
- aigc
- videogeneration
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
Automated Penetration Testing Agentic Framework Powered by Large Language Models
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
TranslatedChatGLM2-6B: An Open Bilingual Chat LLM
- chatglm
- chatglm-6b
- large-language-models
- llm
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
- 3d
- 3d-aigc
- 3d-generation
- image-to-3d
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Enjoy the magic of Diffusion models!
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
Pocket Flow: Codebase to Tutorial
HunyuanVideo: A Systematic Framework For Large Video Generation Model
- video-generation
- diffusion-models
- diffusion-transformer
Access large language models from the command-line