648 Open source projects that are alternatives of or similar to Ehcf

simple neural network library in ANSI C

Deep Learning Computer Vision Algorithms for Real-World Use

A single / multi layer / recurrent neural network written in Golang.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Visualisations for Convolutional Neural Networks in Pytorch

A Clojure library for querying large data-sets on similarity

Highway networks implemented in PyTorch.

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

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Crystal Graph Neural Networks

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

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.

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

Distributed Learning by Pair-Wise Averaging

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

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

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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

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

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

Machine learning and data science blog.

Self driving cars using NEAT

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

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.

Research code need not be ugly.

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

An open source recommender system service written in Go

A TensorFlow recommendation algorithm and framework in Python.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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

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

Deep Learning over PyTorch

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

Deep Learning tools for brain medical images

Self-organizing maps in Go

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Getting started with AllenNLP and PyTorch by training a tweet classifier

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

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Build conversation Seq2Seq models with TensorFlow

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

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.

All DeepLearning4j projects go here.

JAX-based neural network library

An implementation of locality sensitive hashing with Hadoop

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Keras implementations of Generative Adversarial Networks.

Denoising Autoencoders for Phenotype Stratification

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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

图像识别与推荐系统两类

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