Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

Awesome Incremental Learning

An up-to-date list of works on Multi-Task Learning

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

A collection of libraries to optimise AI model performances

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

A pattern-based approach to learn technical interview questions

Merlion: A Machine Learning Framework for Time Series Intelligence

Train the HRNet model on ImageNet

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

A list of multi-task learning papers and projects.

Hydra is a framework for elegantly configuring complex applications

A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)

The uncompromising Python code formatter

Archived — Spark Joy now lives on Forge.

Platform for designing and evaluating Graph Neural Networks (GNN)

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Unit Testing for pytorch, based on mltest

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Must-read papers on graph neural networks (GNN)

Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

Graph Neural Network Library for PyTorch

A simple baseline for pedestrian attribute recognition in surveillance scenarios