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Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.
Pippo: High-Resolution Multi-View Humans from a Single Image
Video Generation Foundation Models: https://saiyan-world.github.io/goku/
FlashSpace is a blazingly fast virtual workspace manager for macOS ⚡
continuous level of detail mesh library
Waydroid uses a container-based approach to boot a full Android system on a regular GNU/Linux system like Ubuntu.
This is the latest version of the internal repository from Pebble Technology providing the software to run on Pebble watches. Proprietary source code has been removed from this repository and it wi…
Infinite Photorealistic Worlds using Procedural Generation
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
VPTQ, A Flexible and Extreme low-bit quantization algorithm
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Control your Roku with hand gestures using Mediapipe and Python
Large Concept Models: Language modeling in a sentence representation space
macOS menu bar app that shows how full the International Space Station's urine tank is in real time
Official repository for the paper "CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models"
Realtime Video and Audio Streaming with WebRTC and Gradio
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
SOTA discrete acoustic codec models with 40 tokens per second for audio language modeling
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"
Official Implementation for "InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention"
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Voilà, install macOS on ANY Computer! This is really and magic easiest way!
Finds larger/original versions of images and videos