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

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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Text Classification Algorithms: A Survey

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.

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

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

🏖TagEditor - Annotation tool for spaCy

Interactive Classification for Deep Learning Interpretation

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

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

Quantize weights and activations in Recurrent Neural Networks.

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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

Application of machine learning to the Coinbase (GDAX) orderbook

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

Deep Learning over PyTorch

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

Self-organizing maps in Go

A simple JavaScript neural network framework.

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

Deep Neural Network Sandbox for JavaScript.

Keras implementations of Generative Adversarial Networks.

Race and ethnicity Imputation from Disease history with Deep LEarning

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

Minimal and clean examples of machine learning algorithms implementations

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

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.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

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

PyTorch tutorial for learners

Image Captioning: Implementing the Neural Image Caption Generator with python

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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

Biologically-realistic recurrent convolutional neural networks

Highway networks implemented in PyTorch.

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

The Official Deep Learning Framework for Route-based Place Recognition

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

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

Arrays with arbitrarily nested named components.

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

Deep Learning Toolkit for Medical Image Analysis

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

A Natural Language Toolkit for Indian Languages

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

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

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.

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

Neural machine translator for English2German translation.

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

JAX-based neural network library

Getting started with AllenNLP and PyTorch by training a tweet classifier

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

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

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

An implementation of DiscoGAN in tensorflow

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