botsman11

mlp-mixer

PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

akg

AKG (Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks, which provides the ability to automatically fuse ops with specific patterns.

Faster-Orthogonal-Parameterization-with-Householder-Matrices

implementation of: https://invertibleworkshop.github.io/accepted_papers/pdfs/10.pdf

expRNN

Optimization with orthogonal constraints and on general manifolds

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

mango

Parallel Hyperparameter Tuning in Python

gated-graph-transformers

Transformers are Graph Neural Networks!

deap

Distributed Evolutionary Algorithms in Python

Fuzzy-Q-Learning

A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states

deepsvg

[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.

SvgTrace

Leverage pyppeteer and the imagetrace.js library to trace a bitmap to SVG in python

autosvg

Autosvg is tracing tool, which can convert image format like (jpg,png,gif) into vector

AvalonStudio.TerminalEmulator

Avalonia control that allows embedding applications inside an emulated terminal.

AvalonStudio.Shell

Reusable Shell components from AvalonStudio.

AvaloniaGraphControl

A graph layout panel for AvaloniaUI

SSH.NET

SSH.NET is a Secure Shell (SSH) library for .NET, optimized for parallelism.

pyff

Python Diff

Compact-Transformers

Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

Best-Deep-Learning-Optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

noah-research

Noah Research

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

Core2D

A multi-platform data driven 2D diagram editor.

XamlControlsGallery

AutoLR

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks

HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

google-research

Google Research

MVVMDiagramDesigner

WPF diagram designer with full MVVM support, and pluggable persistence model

Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

rescaling

Official implementation for our paper "Is normalization indispensable for training deep neural networks?"

neural-net-random-art

Repository for creating random abstract art using fully connected neural networks