A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Highest-end Qwen model for reasoning-heavy and complex agent workloads.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
Deep learning based facial detector for Python coming with facial landmarks.
100% free, open-source AI code review tool for analyzing git branch differences with comprehensive security, performance, and quality analysis.
Easily compute CLIP embeddings and build a CLIP retrieval system with them.
Explore and compare open source Ruby libraries.
An AI assistant built for compounding context. It learns your taste, detects hidden patterns, augments your brain context and works proactively.
ScalaNLP is a suite of machine learning and numerical computing libraries.
Org profile for Stable Diffusion concepts library on Hugging Face, the AI community building the future.
AI Character/Companion in Realtime.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
A compendium of information regarding Stable Diffusion (SD).
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Test your ability to tell if an image is human or computer generated.