Projects in Awesome Lists tagged with recurrent-neural-networks

https://github.com/brainjs/brain.js

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

api brain browser convolutional-neural-networks easy-to-use hacktoberfest neural-network node nodejs recurrent-neural-networks stream web

Last synced: 29 Sep 2024

https://github.com/afshinea/stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

cheatsheet convolutional-neural-networks data-science deep-learning recurrent-neural-networks

Last synced: 30 Sep 2024

https://github.com/sjvasquez/handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

handwriting-generation handwriting-synthesis recurrent-neural-networks tensorflow

Last synced: 30 Sep 2024

https://github.com/bentrevett/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

bert cnn cnn-text-classification fasttext lstm lstm-sentiment-analysis natural-language-processing nlp pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials recurrent-neural-networks rnn sentiment-analysis sentiment-classification torchtext transformers tutorial word-embeddings

Last synced: 31 Jul 2024

https://github.com/nelsonzhao/zhihu

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.

autoencoder convolutional-neural-networks deep-learning gan machine-translation natural-language-processing recurrent-neural-networks style-transfer tensorflow-examples

Last synced: 26 Sep 2024

https://github.com/NELSONZHAO/zhihu

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.

autoencoder convolutional-neural-networks deep-learning gan machine-translation natural-language-processing recurrent-neural-networks style-transfer tensorflow-examples

Last synced: 04 Aug 2024

https://github.com/guillaume-chevalier/lstm-human-activity-recognition

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

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 30 Sep 2024

https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

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

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 31 Jul 2024

https://github.com/amanchadha/coursera-deep-learning-specialization

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

andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns

Last synced: 30 Sep 2024

https://github.com/easy-tensorflow/easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

convolutional-neural-networks deep-learning machine-learning neural-network object-detection pattern-recognition python recurrent-neural-networks reinforcement-learning tensorflow

Last synced: 30 Sep 2024

https://github.com/sjchoi86/tensorflow-101

TensorFlow Tutorials

convolutional-neural-networks recurrent-neural-networks tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/sjchoi86/Tensorflow-101

TensorFlow Tutorials

convolutional-neural-networks recurrent-neural-networks tensorflow-tutorials

Last synced: 31 Jul 2024

https://github.com/dragen1860/deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程配套源代码和PPT

artificial-intelligence convolutional-neural-networks deep-learning generative-adversarial-network machine-learning pytorch recurrent-neural-networks tutorial

Last synced: 03 Oct 2024

https://github.com/Alro10/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning deep-neural-networks demand-forecasting forecasting-competitions forecasting-models lstm lstm-neural-networks prediction python3 pytorch recurrent-neural-networks sales-forecasting series-analysis series-classification series-forecasting tensorflow time-series time-series-classification time-series-forecasting time-series-prediction

Last synced: 31 Jul 2024

https://github.com/mravanelli/pytorch-kaldi

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.

asr deep-learning deep-neural-networks dnn dnn-hmm gru kaldi lstm lstm-neural-networks multilayer-perceptron-network pytorch recurrent-neural-networks rnn rnn-model speech speech-recognition timit

Last synced: 30 Sep 2024

https://github.com/asappresearch/sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

deep-learning nlp pytorch recurrent-neural-networks

Last synced: 30 Sep 2024

https://github.com/githubharald/simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

deep-learning handwritten-text-recognition machine-learning ocr recurrent-neural-networks tensorflow

Last synced: 30 Sep 2024

https://github.com/githubharald/SimpleHTR

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

deep-learning handwritten-text-recognition machine-learning ocr recurrent-neural-networks tensorflow

Last synced: 31 Jul 2024

https://github.com/philipperemy/keras-tcn

Keras Temporal Convolutional Network.

deep-learning keras machine-learning recurrent-neural-networks tcn

Last synced: 26 Sep 2024

https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 30 Sep 2024

https://github.com/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 01 Aug 2024

https://github.com/mbadry1/top-deep-learning

Top 200 deep learning Github repositories sorted by the number of stars.

artificial-intelligence artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks deep-reinforcement-learning machine-learning recurrent-neural-networks stargazers-count top-repositories

Last synced: 30 Sep 2024

https://github.com/mbadry1/Top-Deep-Learning

Top 200 deep learning Github repositories sorted by the number of stars.

artificial-intelligence artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks deep-reinforcement-learning machine-learning recurrent-neural-networks stargazers-count top-repositories

Last synced: 30 Jul 2024

https://github.com/HendrikStrobelt/LSTMVis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

lstm neural-network recurrent-neural-networks visualization

Last synced: 31 Jul 2024

https://github.com/offchan42/machine-learning-curriculum

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

chainer convolutional-neural-networks course curriculum deep-learning guide machine-learning mlops-workflow mxnet neural-network python pytorch recurrent-neural-networks reinforcement-learning tensorflow

Last synced: 30 Sep 2024

https://github.com/richliao/textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

attention-mechanism convolutional-neural-networks hierarchical-attention-networks recurrent-neural-networks text-classification

Last synced: 01 Aug 2024

https://github.com/wagamamaz/tensorflow-tutorial

TensorFlow and Deep Learning Tutorials

autoencoder cnn convolutional-neural-networks deep-learning deep-learning-tutorial deep-reinforcement-learning keras machine-learning multi-layer-perceptron neural-machine-translation neural-network neural-networks nlp notebook recurrent-neural-networks reinforcement-learning tensorflow tensorflow-tutorials tensorlayer tflearn

Last synced: 29 Sep 2024

https://github.com/samre12/deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

agent artificial-intelligence bitcoin deep-q-network deep-reinforcement-learning deep-sense recurrent-neural-networks trading

Last synced: 30 Jul 2024

https://github.com/NeuromatchAcademy/course-content-dl

NMA deep learning course

continual-learning convolutional-neural-networks deep-learning recurrent-neural-networks reinforcement-learning-algorithms transformers

Last synced: 03 Aug 2024

https://github.com/ottokart/punctuator2

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

attention demo punctuation recurrent-neural-networks theano

Last synced: 03 Aug 2024

https://github.com/sotelo/parrot

RNN-based generative models for speech.

blocks deep-learning recurrent-neural-networks speech-synthesis theano

Last synced: 01 Aug 2024

https://github.com/jostmey/rwa

Machine Learning on Sequential Data Using a Recurrent Weighted Average

deep-memory recurrent-neural-networks recurrent-weighted-average research rwa-model sequential-data time-series

Last synced: 07 Aug 2024

https://github.com/x4nth055/emotion-recognition-using-speech

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

deep-learning emotion-detection emotion-recognition emotion-recognizer feature-extraction gradient-boosting keras kneighborsclassifier librosa machine-learning mfcc mlp-classifier neural-networks random-forest-classifier recurrent-neural-networks sklearn speech-emotion-recognition support-vector-machine

Last synced: 29 Sep 2024

https://github.com/AnubhavGupta3377/Text-Classification-Models-Pytorch

Implementation of State-of-the-art Text Classification Models in Pytorch

attention classification convolutional-neural-networks deep-learning fasttext nlp pytorch rcnn recurrent-neural-networks seq2seq transformer

Last synced: 02 Aug 2024

https://github.com/filangelos/qtrader

Reinforcement Learning for Portfolio Management

algorithmic-trading python q-learning recurrent-neural-networks reinforcement-learning

Last synced: 31 Jul 2024

https://github.com/nschaetti/EchoTorch

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.

artificial-intelligence artificial-neural-networks echo-state-networks machine-learning machine-learning-algorithms machinelearning neural-networks python python-toolkit pytorch recurrent-networks recurrent-neural-networks reservoir-computing torch

Last synced: 03 Aug 2024

https://github.com/crazydonkey200/tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

recurrent-neural-networks rnn rnn-tensorflow tensorflow

Last synced: 02 Aug 2024

https://github.com/reservoirpy/reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

artificial-intelligence echo-state-networks esn machine-learning machine-learning-algorithms neural-network python recurrent-neural-networks reservoir reservoir-computing timeseries timeseries-analysis timeseries-forecasting timeseries-prediction

Last synced: 02 Aug 2024

https://github.com/rwth-i6/returnn

The RWTH extensible training framework for universal recurrent neural networks

deep-learning gpu recurrent-neural-networks tensorflow theano

Last synced: 29 Sep 2024

https://github.com/tirthajyoti/deep-learning-with-python

Deep learning codes and projects using Python

artificial-intelligence cnn computer-vision convolutional-neural-networks deep-learning generative-adversarial-network google-colab image-classification keras machine-learning neural-networks object-detection recurrent-neural-networks resnet rnn vgg16

Last synced: 03 Oct 2024

https://github.com/mikekeith52/scalecast

The practitioner's forecasting library

auto-ml data-science deep-learning easy-to-use forecasting keras lstm machine-learning mase msis pandas python recurrent-neural-networks scikit-learn scikit-learn-python smape time-series vecm

Last synced: 29 Sep 2024

https://github.com/sekwiatkowski/Komputation

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

artificial-intelligence convolutional-neural-networks cuda framework gpu jvm kotlin machine-learning neural-networks nlp nvidia recurrent-neural-networks seq2seq

Last synced: 01 Aug 2024

https://github.com/zhongkaifu/RNNSharp

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

c-sharp crf deep-learning dotnet lstm machine-learning nlp recurrent-neural-networks rnn rnn-model sequence-labeling

Last synced: 17 Aug 2024

https://github.com/jimfleming/recurrent-entity-networks

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

deep-learning machine-learning natural-language-processing recurrent-neural-networks tensorflow

Last synced: 07 Aug 2024

https://github.com/raminmh/liquid-s4

Liquid Structural State-Space Models

deep-learning liquid-neural-networks neural-networks recurrent-neural-networks sequence-modeling state-space-models time-series

Last synced: 31 Jul 2024

https://github.com/tbepler/protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

deep-learning language-model protein-embedding protein-modeling protein-representation-learning protein-sequence protein-structure pytorch recurrent-neural-networks

Last synced: 03 Aug 2024

https://github.com/L0SG/relational-rnn-pytorch

An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.

deep-learning deepmind language-model language-modeling pytorch recurrent-neural-networks self-attention transformer word-language-model

Last synced: 07 Aug 2024

https://github.com/mead-ml/mead-baseline

Deep-Learning Model Exploration and Development for NLP

baseline bert classification convolutional-neural-networks deep-learning deep-learning-architectures experimentation hacktoberfest keras language-model machine-learning nlp nlp-tasks pytorch recurrent-neural-networks seq2seq tensorflow transformers visdom

Last synced: 27 Sep 2024

https://github.com/bogatyy/cs224d

Code for Stanford CS224D: deep learning for natural language understanding

deep-learning natural-language recurrent-neural-networks tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/rakeshvar/rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

captcha ctc ctc-loss deep-learning gru lstm neural-network ocr python recurrent-neural-networks rnn rnn-ctc speech-recognition speech-to-text theano

Last synced: 02 Aug 2024

https://github.com/stefanonardo/pytorch-esn

An Echo State Network module for PyTorch.

deep-learning echo-state-networks esn machine-learning neural-networks python pytorch recurrent-neural-networks reservoir-computing

Last synced: 02 Aug 2024

https://github.com/nengo/keras-lmu

Keras implementation of Legendre Memory Units

keras legendre lmu lstm nengo recurrent-neural-networks tensorflow

Last synced: 27 Sep 2024

https://github.com/tonybeltramelli/Deep-Spying

Spying using Smartwatch and Deep Learning

data-science deep-learning neural-networks privacy recurrent-neural-networks security wearable-devices

Last synced: 07 Aug 2024

https://github.com/lcswillems/torch-ac

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

a2c a3c actor-critic advantage-actor-critic deep-reinforcement-learning minigrid multi-process ppo proximal-policy-optimization pytorch recurrent recurrent-neural-networks reinforcement-learning reward-shaping

Last synced: 07 Aug 2024

https://github.com/hengluchang/deep-news-summarization

News summarization using sequence to sequence model with attention in TensorFlow.

deep-learning encoder-decoder gigaword lstm news-summarization recurrent-neural-networks seq2seq tensorflow tensorflow-models

Last synced: 26 Sep 2024

https://github.com/nicklashansen/voice-activity-detection

Voice Activity Detection (VAD) using deep learning.

convolutional-neural-networks deep-learning deep-neural-networks densenet focal-loss pytorch recurrent-neural-networks voice-activity-detection

Last synced: 03 Aug 2024

https://github.com/Js-Mim/mss_pytorch

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

deep-learning mss-pytorch music-source-separation pytorch recurrent-neural-networks skip-filtering-connections

Last synced: 03 Aug 2024

https://github.com/AlexGidiotis/Document-Classifier-LSTM

A bidirectional LSTM with attention for multiclass/multilabel text classification.

arxiv attention-mechanism hierarchical-attention-networks keras lstm multilabel-multiclass recurrent-neural-networks tensorflow text-classification

Last synced: 01 Aug 2024

https://github.com/greydanus/crypto-rnn

Learning the Enigma with Recurrent Neural Networks

cryptography decoding decoding-polyalphabetic-ciphers deep-learning enigma-cipher polyalphab recurrent-neural-networks tensorflow vigenere-cipher

Last synced: 07 Aug 2024

https://github.com/sanyam5/arc-pytorch

The first public PyTorch implementation of Attentive Recurrent Comparators

computer-vision deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks

Last synced: 07 Aug 2024

https://github.com/neural-nuts/image-caption-generator

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

artificial-intelligence captioning-images computer-vision convolutional-neural-networks image-captioning lstm lstm-neural-networks natural-language-generation neural-network recurrent-neural-networks tensorflow

Last synced: 04 Aug 2024

https://github.com/guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

attention-is-all-you-need attention-mechanism attention-model lstm pytorch recurrent-neural-networks rnn

Last synced: 01 Aug 2024

https://github.com/murraylab/PsychRNN

cognitive-neural-processes neural-networks recurrent-neural-networks tensorflow

Last synced: 02 Aug 2024

https://github.com/jdermody/brightwire

Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)

convolutional-neural-networks csharp cuda cuda-support gpu gpu-support machine-learning machine-learning-library machinelearning neural-network recurrent-neural-networks

Last synced: 02 Aug 2024

https://github.com/csxeba/brainforge

A Neural Networking library based on NumPy only

artificial-neural-networks convolutional-neural-networks deep-learning evolutionary-algorithm machine-learning recurrent-neural-networks

Last synced: 01 Aug 2024

https://github.com/proger/accelerated-scan

Accelerated First Order Parallel Associative Scan

cuda cumulative-sum recurrent-neural-networks state-space-model torch

Last synced: 01 Aug 2024

https://github.com/palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor

Last synced: 17 Aug 2024

https://github.com/statsmaths/kerasr

R interface to the keras library

convolutional-neural-networks machine-learning neural-network r-package recurrent-neural-networks

Last synced: 02 Oct 2024

https://github.com/rindow/rindow-neuralnetworks

Neural networks library for machine learning on PHP

cnn convolutional-neural-networks deep-learning dnn gpgpu gpu machine-learning ml neural-network openblas opencl php php8 recurrent-neural-networks rnn

Last synced: 02 Aug 2024

https://github.com/thtrieu/essence

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

auto-differentiation cartpole computational-graphs convolutional-networks convolutional-neural-networks deep-learning deep-q-network dropout lenet lstm lstm-model machine-learning mnist neural-turing-machines question-answering recurrent-neural-networks reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/ehsanik/dogTorch

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

computer-vision dog dog-movements ego-centric-videos imitation-learning modeling-dog recurrent-neural-networks representation-learning

Last synced: 31 Jul 2024

https://github.com/jinyeom/neat

NEAT (NeuroEvolution of Augmenting Topologies) implemented in Go

genetic-algorithm go neat neural-network neuroevolution recurrent-neural-networks reinforcement-learning topologies

Last synced: 30 Jul 2024

https://github.com/FilippoMB/Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

conformal-prediction ensemble-machine-learning frequentist-statistics frequentistic-confidence-intervals prediction-intervals probabilistic-forecasting quantile-regression random-forest recurrent-neural-networks time-series-forecasting time-series-prediction uncertainty-quantification

Last synced: 03 Aug 2024

https://github.com/siddk/entity-network

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

embeddings key-vectors recurrent-entity-networks recurrent-neural-networks tensorflow tensorflow-models

Last synced: 26 Sep 2024

https://github.com/neural-nuts/cam2caption

[DEPRECATED] An Android application which converts camera feed to captions in real time

android-application convolutional-neural-networks image-captioning recurrent-neural-networks tensorflow-android tensorflow-models

Last synced: 26 Sep 2024

https://github.com/MrinmoiHossain/Udacity-Deep-Learning-Nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

convolutional-networks convolutional-neural-networks deep-learning gans generative-adversarial-network long-short-term-memory-models lstms machine-learning nanodegree neural-network nlp pytorch recurrent-neural-networks rnn sentiment-analysis style-transfer transfer-learning udacity udacity-nanodegree

Last synced: 07 Aug 2024

https://github.com/shlizee/NeuroAI

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

ai cvpr data-science deep-learning eccv icml neural-networks neurips neuroscience-methods recurrent-neural-networks sfn

Last synced: 02 Aug 2024

https://github.com/Curt-Park/cs231n_assignments

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

convolutional-neural-networks image-captioning recurrent-neural-networks visual-recognition

Last synced: 02 Aug 2024

https://github.com/ekzhang/char-rnn-keras

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

char-rnn keras lstm recurrent-neural-networks tensorflow

Last synced: 02 Aug 2024

https://github.com/KrakenAI/SynThai

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

deep-learning pos-tagging recurrent-neural-networks thai-nlp word-segmentation

Last synced: 02 Aug 2024

https://github.com/zotroneneis/tensorflow_deep_learning_models

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

cnn cnn-tensorflow convolutional-neural-network convolutional-neural-networks deep-learning ipynb machine-learning notebook python recurrent-neural-network recurrent-neural-networks rnn rnn-tensorflow tensorflow vae variational-autoencoder

Last synced: 27 Sep 2024

https://github.com/anastassia-b/imessage-chatbot

💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.

flask imessage recurrent-neural-networks sqlite3 tensorflow twilio

Last synced: 02 Oct 2024

https://github.com/UCA-Datalab/nilm-thresholding

:warning: This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

convolutional-neural-networks deep-learning domestic-appliances gru monitoring neural-network nilm nilm-algorithms pytorch recurrent-neural-networks tensorflow thresholding thresholding-methods

Last synced: 01 Aug 2024

https://github.com/fabridamicelli/echoes

Machine Learning with Echo State Networks, a scikit-learn compatible package.

echo-state-networks machine-learning neural-network python recurrent-neural-networks reservoir-computing shallow-learning

Last synced: 02 Aug 2024

https://mithi.github.io/deep-blueberry/

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

computer-vision convolutional-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning generative-adversarial-network keras-tensorflow long-short-term-memory machine-learning machine-learning-algorithms pytorch-implementation pytorch-tutorial recurrent-neural-networks reinforcement-learning variational-autoencoder

Last synced: 31 Jul 2024

https://github.com/varunagarwal97/speech-denoising-with-rnn

Speech Denoising using RNNs in Tensorflow

lstm neural-network recurrent-neural-networks speech-denoising stft tensorflow-experiments

Last synced: 26 Sep 2024

https://github.com/lucidrains/light-recurrent-unit-pytorch

Implementation of a Light Recurrent Unit in Pytorch

artificial-intelligence deep-learning recurrent-neural-networks

Last synced: 03 Oct 2024

https://github.com/anujdutt9/recurrentneuralnetwork

Recurrent Neural Network from scratch using Python and Numpy

numpy python-3-5 recurrent-neural-networks rnn

Last synced: 01 Oct 2024

https://github.com/igitugraz/h-mem

Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks

hebbian-learning memory-networks neural-networks python recurrent-neural-networks tensorflow-experiments

Last synced: 26 Sep 2024

https://github.com/resotto/laplace

LSTM Model to predict BTCUSD ticker values

bidirectional-lstm deep-learning keras lstm numpy python python3 recurrent-neural-networks scikit-learn sklearn tensorflow

Last synced: 01 Oct 2024

https://github.com/x-raylaser/multi-directional-mdrnn

Custom Keras layers for implementing multi-dimensional recurrent neural networks (MDRNNs) described in Alex Graves's paper https://arxiv.org/pdf/0705.2011.pdf

deep-learning keras lstm machine-learning mdrnn multi-dimensional-rnn neural-networks paper-implementations recurrent-neural-networks rnn tensorflow

Last synced: 27 Sep 2024

https://github.com/beegass/cs-541-deep-learning

CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network recurrent-neural-networks

Last synced: 03 Oct 2024

https://github.com/ShaunakSen/AI-for-Web-Accessibility

This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a part of my MSc in Data Science course in the University of Southampton, UK under the supervision of Prof. Mike Wald

artificial-intelligence convolutional-neural-networks deep-learning image-captioning natural-language-processing recurrent-neural-networks transfer-learning web-accessibility word2vec

Last synced: 29 Jul 2024

https://github.com/webpolis/musai

Machine learning-powered music generation. Full-featured tokenizer, customization options, and high-quality output files. Integration with music production tools.

deep-learning generative-art large-language-models llm machine-learning midi music music-generation nlp recurrent-neural-networks rnn text-generation tokenizer vae variational-autoencoder

Last synced: 05 Aug 2024

https://github.com/burakahmet/deeplearning.ai-tensorflow-developer-professional-certificate

Quizzes and assignment submissions for DeepLearning.AI TensorFlow Developer Professional Certificate program

artificial-neural-networks cnn computer-vision convolutional-neural-networks coursera deep-learning deep-neural-networks deeplearning image-classification image-processing keras learning-notes machine-learning natural-language-processing neural-network neural-networks recurrent-neural-networks rnn tensorflow tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/rafael-a-monteiro-math/binary_classification_phase_separation

Python code for the paper "Binary classification as a phase separation process", by Rafael Monteiro. Further information can be found in the tutorial website below.

applied-mathematics classification-model dynamical-systems keras-tensorflow machine-learning machine-learning-algorithms neural-networks partial-differential-equations python reaction-diffusion recurrent-neural-networks statistics tensorflow-experiments tensorflow2