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Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High-Resolution Image Synthesis with Latent Diffusion Models
A collection of resources and papers on Diffusion Models
Hydra is a framework for elegantly configuring complex applications
Implementation of Nougat Neural Optical Understanding for Academic Documents
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Code for the paper "Jukebox: A Generative Model for Music"
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Official repo for consistency models.
Setup and customize deep learning environment in seconds.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
A collection of infrastructure and tools for research in neural network interpretability.
♾️ CML - Continuous Machine Learning | CI/CD for ML
Scalable and user friendly neural 🧠 forecasting algorithms.
A library for scientific machine learning and physics-informed learning
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Learning in infinite dimension with neural operators.
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).