#Recurrent-neural-networks
Showing 60 of 111 repositories tagged #recurrent-neural-networks, ranked by stars
๐ค GPU accelerated Neural networks in JavaScript for Browsers and Node.js
VIP cheatsheets for Stanford's CS 230 Deep Learning
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
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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Simple and comprehensive tutorials in TensorFlow
List of papers, code and experiments using deep learning for time series forecasting
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Keras Temporal Convolutional Network. Supports Python and R.
Code Repository for Liquid Time-Constant Networks (LTCs)
Text Classification Algorithms: A Survey
Top 200 deep learning Github repositories sorted by the number of stars.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
NMA deep learning course
Deep Reinforcement Learning based Trading Agent for Bitcoin
Visualizing RNNs using the attention mechanism
TensorFlow and Deep Learning Tutorials
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
RNN-based generative models for speech.
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.
Reinforcement Learning for Portfolio Management
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
This is an open sourced book on deep learning.
The RWTH extensible training framework for universal recurrent neural networks
Machine learning models for time series analysis
Deep learning codes and projects using Python
The practitioner's forecasting library
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
ECG classification programs based on ML/DL methods
Book and material for the course "Time series analysis with Python" (STA-2003)
A curated list of dedicated resources and applications
An Echo State Network module for PyTorch.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Spying using Smartwatch and Deep Learning
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
videos, lectures, blogs for Deep Learning
Neural machine translator for English2German translation.
The Official Deep Learning Framework for Robot Place Learning