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Name: KL
Type: User
Name: KL
Type: User
3D generation on ImageNet [ICLR 2023]
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
This is a simple template using HuggingFace Accelerator for DDP-training/Saving/Loading/Pushing.
This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
Code and dataset for photorealistic Codec Avatars driven from audio
Repository for scripts and notebooks from the book: Beginnerโs Guide to Using PyTorchfor Deep Learning
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
README and scripts for the Cityscapes Dataset
COCO API - Dataset @ http://cocodataset.org/
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
library of algorithms to speed up neural network training
The ApolloScape Open Dataset for Autonomous Driving and its Application.
Deep Learning Examples
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics
This repository is the official implementation of DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras.
PyTorch code and models for the DINOv2 self-supervised learning method.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Dense Prediction Transformers
EfficientViT is a new family of vision models for efficient high-resolution vision.
Fast R-CNN
๐ Easiest Fully Convolutional Networks
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.