1230 Open source projects that are alternatives of or similar to Autoclint

Official Implementation of 'Fast AutoAugment' in PyTorch.

Efficient Learning of Augmentation Policy Schedules

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

Object classification with CIFAR-10 using transfer learning

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

Deep learning codes and projects using Python

TensorFlow Implementation of state-of-the-art models since 2012

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

AutoGluon: AutoML for Text, Image, and Tabular Data

RMDL: Random Multimodel Deep Learning for Classification

CNN image classifier implemented in Keras Notebook 🖼️.

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

SincNet is a neural architecture for efficiently processing raw audio samples.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Best Practices, code samples, and documentation for Computer Vision.

AutoML library for deep learning

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An automatic ML model optimization tool.

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

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

A photo OCR project aims to output DMS messages contained in sign structure images.

Implementation of Quickdraw - an online game developed by Google

CNN visualization tool in TensorFlow

Simple Convolutional Neural Network Library

collecting related resources of automated machine learning here

The Official Deep Learning Framework for Route-based Place Recognition

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Visualisations for Convolutional Neural Networks in Pytorch

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

TensorFlow and Deep Learning Tutorials

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Image Tampering Detection using ELA and CNN

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

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

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

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

PyTorch tutorial for learners

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

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

PyTorch implementation of LeNet-5 with live visualization

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

convolutional lstm implementation in pytorch

[UNMAINTAINED] Automated machine learning for analytics & production

A machine learning experiment