Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Style transfer, deep learning, feature transform
A collaboration friendly studio for NeRFs
🐍 Geometric Computer Vision Library for Spatial AI
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
pySLAM is a Python-based Visual SLAM pipeline that supports monocular, stereo, and RGB-D cameras. It offers a wide range of modern local and global features, multiple loop-closing strategies, a vol…
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
A Unified Framework for Surface Reconstruction
Implementation of recent Deep Learning papers
Python library for reading and writing image data
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
A PyTorch port of the Neural 3D Mesh Renderer
Monocular Depth Estimation Toolbox based on MMSegmentation.
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
Approximate Nearest Neighbor Search for Sparse Data in Python!
PyTorch implementation of Deformable Convolution
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and proces…
🐦 Quickly annotate data from the comfort of your Jupyter notebook
The PatchCamelyon (PCam) deep learning classification benchmark.
Supplementary code for the paper "Hyperbolic Image Embeddings".
A python module of handy tools and functions, mainly for ML and Kaggle