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The verification layer for coding agents
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
A agent framework based on the tutorial hello-agents
Quicksilver Project Source
Keep passwords and other sensitive information out of your chat logs and inboxes.
Data manipulation and transformation for audio signal processing, powered by PyTorch
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型
Compresses linked and inline javascript or CSS into a single cached file.
The pretty much "official" DSPy framework for Typescript
Aggregates RSS and web content(Calibre recipe), sends to Kindle, and includes an e-ink optimized online reader.
python parser for human readable dates
Sane and flexible OpenAPI 3 schema generation for Django REST framework.
LLM speculative inference server for heterogeneous hardware & consumer GPUs
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
POT : Python Optimal Transport
Sequential model-based optimization with a `scipy.optimize` interface
Feature rich robust FastAPI template.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Build, Store, and Distribute your Applications and Containers
Minimalistic large language model 3D-parallelism training
LLMRouter: An Open-Source Library for LLM Routing
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Community maintained hardware plugin for vLLM on Ascend
Adaptive Experimentation Platform
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!