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A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Google Research
A simple screen parsing tool towards pure vision based GUI agent
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
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 modeā¦
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
This repository contains the source code for the paper First Order Motion Model for Image Animation
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
High-Resolution Image Synthesis with Latent Diffusion Models
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
[NeurIPS 2024 Best Paper Award][GPT beats diffusionš„] [scaling laws in visual generationš] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". Aā¦
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
A Bulletproof Way to Generate Structured JSON from Language Models
Democratizing Reinforcement Learning for LLMs
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
The hub for EleutherAI's work on interpretability and learning dynamics
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Doing simple retrieval from LLM models at various context lengths to measure accuracy
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compuā¦
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".