750 Open source projects that are alternatives of or similar to Naszilla

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Differentiable architecture search for convolutional and recurrent networks

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Encodings for neural architecture search

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A curated list of automated machine learning papers, articles, tutorials, slides and projects

A specially designed light version of Fast AutoAugment

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Play deep learning with CIFAR datasets

Awesome Neural Architecture Search Papers

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

Fast and flexible AutoML with learning guarantees.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Outdated, see new https://github.com/braindecode/braindecode

Image Captioning: Implementing the Neural Image Caption Generator with python

AutoML library for deep learning

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Official Implementation of 'Fast AutoAugment' in PyTorch.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Reference caffe implementation of LSUV initialization

Repository has been moved: https://github.com/adobe/antialiased-cnns

Object classification with CIFAR-10 using transfer learning

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

This repo is about NAS

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

AutoML frAmework for Neural Networks

"NAS evaluation is frustratingly hard", ICLR2020

Various CNN models for CIFAR10 with Chainer

PyTorch implementation of PNASNet-5 on ImageNet

Keras tutorial for beginners (using TF backend)

AutoGluon: AutoML for Text, Image, and Tabular Data

Efficient Learning of Augmentation Policy Schedules

a distributed Hyperband implementation on Steroids

Evaluation of the CNN design choices performance on ImageNet-2012.

Genetic neural architecture search with Keras

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Automated deep learning algorithms implemented in PyTorch.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

CNN visualization tool in TensorFlow

TensorFlow implementation of PNASNet-5 on ImageNet

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Image Deblurring using Generative Adversarial Networks

Spatial Pyramid Network for Optical Flow

An automatic ML model optimization tool.

Simple Convolutional Neural Network Library

Implementation of Very Deep Convolutional Neural Network for Text Classification

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Some of my scripts to automate the boring stuff around me

A sign language interpreter using live video feed from the camera.