heye0507

3DShape2VecSet

CRM

[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.

SweetDreamer

TripoSR

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

OpenLRM

An open-source impl. of Large Reconstruction Models

ZeroShape

Code repository for "ZeroShape: Regression-based Zero-shot Shape Reconstruction".

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

DDSM

Denoising Diffusion Step-aware Models (ICLR2024)

InstaFlow

:zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

LucidDreamer

Official implementation of "LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching"

kohya_ss

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

DNMP

ReTR

Official code of ReTR (NeurIPS 2023)

langchain

🦜🔗 Build context-aware reasoning applications

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

UnboundedNeRFPytorch

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

quickstart

https://tacc.ust.hk

awesome-implicit-representations

A curated list of resources on implicit neural representations.

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Awsome-Deep-Learning-for-Video-Analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Practical-Deep-Learning-for-Coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

rsna-intracranial

BentoML

The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!