637 Open source projects that are alternatives of or similar to Pytorch Esn

Anomaly detection for temporal data using LSTMs

🥕 Evolutionary Neural Networks in JavaScript

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Spying using Smartwatch and Deep Learning

Deep learning codes and projects using Python

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

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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

TensorFlow and Deep Learning Tutorials

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

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

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

Awesome list of software that I use to do research in medical imaging.

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

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

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

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

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

Implementation of Simple Recurrent Unit in Keras

Koç University deep learning framework.

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

Quasi-recurrent Neural Networks for Keras

Python library for Reservoir Computing using Echo State Networks

R interface to the keras library

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

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

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

Text Classification Algorithms: A Survey

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

🏖TagEditor - Annotation tool for spaCy

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

Quantize weights and activations in Recurrent Neural Networks.

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

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

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

A simple JavaScript neural network framework.

Deep Neural Network Sandbox for JavaScript.

Race and ethnicity Imputation from Disease history with Deep LEarning

Minimal and clean examples of machine learning algorithms implementations

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

PyTorch tutorial for learners

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Biologically-realistic recurrent convolutional neural networks

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

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

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

TensorFlow-based neural network library

Keras Temporal Convolutional Network.

Arrays with arbitrarily nested named components.

Deep Learning Toolkit for Medical Image Analysis

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

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

videos, lectures, blogs for Deep Learning

brief introduction to Python for neural networks

A simple GUI tool for generating adversarial poses of objects.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO