deep-learning

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Protein Graph Library

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

A list of backdoor learning resources

Portfolio optimization with deep learning.

Diagrams for visualizing neural network architecture

A simple way to calibrate your neural network.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Cool vision, learning, and graphics papers on Cats!

Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

Research on Tabular Deep Learning: Papers & Packages

Official Repository for the Uni-Mol Series Methods

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Tools for handling multimodal data in machine learning projects.

🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.