479 Open source projects that are alternatives of or similar to Discogan Tensorflow

Keras implementations of Generative Adversarial Networks.

Research Framework for easy and efficient training of GANs based on Pytorch

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Self driving cars using NEAT

Self-organizing maps in Go

Getting started with AllenNLP and PyTorch by training a tweet classifier

Pytorch implementation of pix2pix for various datasets.

Augmenting word embeddings with their surrounding context using bidirectional RNN

All DeepLearning4j projects go here.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Highway networks implemented in PyTorch.

Deep Learning over PyTorch

A simple GUI tool for generating adversarial poses of objects.

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

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.

Speech Recognition model based off of FAIR research paper built using Pytorch.

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

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

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

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

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

An open-source platform for automating tasks using machine learning models

Deep Neural Network Sandbox for JavaScript.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

🦄 State-of-the-Art Conversational AI with Transfer Learning

Machine learning and data science blog.

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Minimal and clean examples of machine learning algorithms implementations

Visualisations for Convolutional Neural Networks in Pytorch

simple neural network library in ANSI C

Distributed Learning by Pair-Wise Averaging

Code for the Lovász-Softmax loss (CVPR 2018)

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Deep Learning tools for brain medical images

Crystal Graph Neural Networks

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

A collaboratively written review paper on deep learning, genomics, and precision medicine

Build conversation Seq2Seq models with TensorFlow

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Interactive Classification for Deep Learning Interpretation

A Tensorfflow implementation of Attend, Infer, Repeat

DeepSMILES - A variant of SMILES for use in machine-learning

Books, papers and links to latest research in ML/AI

Arrays with arbitrarily nested named components.