Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Noise Conditional Score Networks (NeurIPS 2019, Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Simulate a federated setting and run differentially private federated learning.

SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models

This repository contains python implementations on Low-rank Atlas-to-image Registration framework and its applications in medical image analysis and computer vision.

L5Kit - level5.lyft.com

Datasets, Transforms and Models specific to Computer Vision

A collection of infrastructure and tools for research in neural network interpretability.

A natural language modeling framework based on PyTorch

Deep Learning (with PyTorch)

Best Practices, code samples, and documentation for Computer Vision.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Recipes for using Python's pandas library

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

The official repository for the CVPR 2019 paper "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"

The fastai deep learning library, plus lessons and tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Notebooks and code for the book "Introduction to Machine Learning with Python"

PyTorch Computer Vision Cookbook, Published by Packt

A Collection of Variational Autoencoders (VAE) in PyTorch.

This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issue…

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"