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手写实现李航《统计学习方法》书中全部算法
An open access book on scientific visualization using python and matplotlib
A collaboration friendly studio for NeRFs
A framework for few-shot evaluation of language models.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
Utilities intended for use with Llama models.
A debugging and profiling tool that can trace and visualize python code execution
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Official repo for consistency models.
Modeling, training, eval, and inference code for OLMo
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Efficient Triton Kernels for LLM Training
The official PyTorch implementation of Google's Gemma models
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
🚀 「大模型」1小时从0训练26M参数的视觉多模态VLM！🌏 Train a 26M-parameter VLM from scratch in just 1 hours!
Denoising Diffusion Probabilistic Models