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Automatic text frequency optimization for LLMs based on Adam's Law
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
"ClawTeam: Agent Swarm Intelligence" (One Command → Full Automation)
AI agents running research on single-GPU nanochat training automatically
The Autonomous Company Operating System
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
🚀 「大模型」2小时从0训练65M参数的视觉多模态VLM！🌏 Train a 65M-parameter VLM from scratch in just 2 hours!
🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!
ICRA 2024 -- Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields
Enjoy the magic of Diffusion models!
Python library for tracking human heads with FLAME (a 3D morphable head model)
Official repo for "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians"
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
[CVPR 2024 Highlight] The official repo for "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians"
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
CUDA accelerated rasterization of gaussian splatting
[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
A unified framework for 3D content generation.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Fast neural radiance field training with free camera trajectories
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
PyTorch implementation of normalizing flow models
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A collaboration friendly studio for NeRFs