PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Official code repository for the paper: "The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection"

DeepLens: a differentiable ray-tracer for computational lens design.

This is the open source repository for our IEEE Transactions on Computational Imaging 2022 paper "dO: A differentiable engine for Deep Lens design of computational imaging systems".

Gaussian processes framework in python

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

BoxNet implemented in TensorFlow and all current training data

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

A framework for blind denoising with self-supervision.

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

A curated list of awesome self-supervised methods

Graph Neural Network Library for PyTorch

gvnn: Geometric Vision with Neural Networks

Unsupervised Learning for Image Registration

Fit interpretable models. Explain blackbox machine learning.

Benchmarking Generalized Out-of-Distribution Detection

Blazing fast symbolic regresison

Generates a particle distribution and an associated Delaunay triangulation based on a grayscale image field (could be an error estimator)

Yet another symmetric tensor network

Python package for conformal prediction

Conditional VAE using CNN on MNIST in PyTorch

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.