543 Open source projects that are alternatives of or similar to Neuralcoref

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

Visualization toolkit for neural networks in PyTorch! Demo -->

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

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

Neural network inference the Unix way

A list of papers and other resources on deep learning with anime style images.

Run Keras models in the browser, with GPU support using WebGL

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

A neural network for end-to-end speech denoising

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

📝 Подборка ресурсов по машинному обучению

Message Passing Neural Networks for Molecule Property Prediction

Code for reproducing Flow ++ experiments

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

A collection of Bayesian data analysis recipes using PyMC3

spaCy pipeline object for negating concepts in text

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Koç University deep learning framework.

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

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Brain Modeling Toolkit

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Deep Learning Toolkit for Medical Image Analysis

Unity Machine Learning Agents Toolkit

A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.

An implementation of DiscoGAN in tensorflow

PyTorch implementations of algorithms for density estimation

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

Learning to Learn in TensorFlow

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

Experimental keras implementation of novel neural network structures

My personal notes, presentations, and notebooks on everything Deep Learning.

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

An open-source tool for sequence learning in NLP built on TensorFlow.

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

A higher-level Neural Network library for microcontrollers.

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

sktime companion package for deep learning based on TensorFlow

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

Finding the genre of a song with Deep Learning

Code for "A-NICE-MC: Adversarial Training for MCMC"

🔮Deep Learning for text made easy with AllenNLP

HyperPose: A Collection of Real-time Human Pose Estimation

🎡 Automated build repo for Python wheels and source packages

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Implementation of non-linear independent components estimation (NICE) in pytorch

🍋Machine Learning library from scratch.🍋

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.