2486 Open source projects that are alternatives of or similar to Deep Learning With Pytorch Tutorials

Deep learning codes and projects using Python

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A curated list of dedicated resources and applications

Machine Reading Comprehension in Tensorflow

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

videos, lectures, blogs for Deep Learning

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

C++ Implementation of PyTorch Tutorials for Everyone

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

Top 200 deep learning Github repositories sorted by the number of stars.

This is an open sourced book on deep learning.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Deep learning for price movement prediction using high frequency limit order data

Text classifier for Hierarchical Attention Networks for Document Classification

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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

The Official Deep Learning Framework for Route-based Place Recognition

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

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

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

Official repository of JSI-GAN (Accepted at AAAI 2020).

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Diabetic retinopathy screening w/ Tensorflow.

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

TensorFlow and Deep Learning Tutorials

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

Composable GAN framework with api and user interface

Image Captioning: Implementing the Neural Image Caption Generator with python

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

deeplearning.ai , By Andrew Ng, All video link

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Some of the ML and DL related reading materials, research papers that I've read

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Biologically-realistic recurrent convolutional neural networks

Text Classification Algorithms: A Survey

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

R interface to the keras library

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

pip install antialiased-cnns to improve stability and accuracy

Best Practices on Recommendation Systems

A Pytorch implementation of Stylegan2 with UNet Discriminator

Using Machine Learning to predict the type of exercise from movement data