lstms

There are 0 repository under lstms topic.

curiousily / Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
deep-learning tensorflow machine-learning artificial-intelligence python keras neural-networks jupyter-notebooks tensorflow-tutorial lstms autoencoders object-detection image-augmentation time-series-forecasting time-series-classification anomaly-detection sentiment-analysis intent-recognition bert
Language:Jupyter Notebook 993
ArrasL / LRP_for_LSTM
Layer-wise Relevance Propagation (LRP) for LSTMs.
recurrent-neural-networks lstms interpretability xai
Language:Python 213
Vehicle_Collision_Prediction_Using_CNN-LSTMs
perseus784 / Vehicle_Collision_Prediction_Using_CNN-LSTMs
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
carla-simulator carla tensorflow cnn lstm cnn-lstm collision-detection python tensorflow-examples time-distributed image-series-prediction scene-understanding autopilot-script lstms vehicle-collision-prediction action-recognition
Language:Python 124
dido1998 / Recurrent-Independent-Mechanisms
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
deep-learning generalization rim attention recurrent-networks lstms grus pytorch
Language:Python 96
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
Language:Jupyter Notebook 51
NotVinay / karaokey
Karaokey is a vocal remover that automatically separates the vocals and instruments. A deep learning model based on LSTMs has been trained to tackle the source separation. The model learns the particularities of music signals through its temporal structure.
audio-source-separation source-separation karaoke karaoke-maker machine-learning lstm recurrent-neural-networks music-separation audio-processing pytorch-rnn pytroch lstms pytorch-lstm flask
Language:Python 35
crypto-code / Stock-Market
Stock Market Prediction & Trading Bot using AI
agent lstms neural-network prediction-algorithm stock-market trading-bot
Language:Python 31
nla-group / ABBA-LSTM
lstms time-series-forecasting
Language:Python 15
RemeAjayi / ds-job-detective
Text Extraction with POS Tagging and Deep Learning(LSTMs)
deep-learning lstms postagging python tensorflow
Language:Jupyter Notebook 7
RhuthuHegde / Tensorflow-coursera
These are the notebook assignments from the deeplearning.ai Tensorflow course on coursera.
convolutional-neural-networks deep-learning lstms machine-learning natural-language-processing recurrent-neural-networks tensorflow-tutorials
Language:Jupyter Notebook 6
aak-ash / Sentimental-Analysis
Sentimental Analysis of Movie Reviews Using Pytorch
lstms natural-language-processing pytorch
Language:Python 3
Ankit152 / Emotions-Detection-NLP
Emotions dataset for NLP classification tasks.
nlp keras lstms bidirectional-lstm emotions sentence-classification confusion-matrix sequential-models nlp-classification-tasks emotions-dataset emotions-detection multiclass-classification
Language:Jupyter Notebook 3
FelixSchuermann / speechenhancement-masterthesis
masters thesis on deep learning methods for speech enhancement
pesq speech-enhancement deep-learning fft librosa lstms thesis
Language:Python 3
mahindrautela / CLARM
Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning
autoregressive-model conditional-vae generative-ai lstms spatiotemporal-data accelerator-physics forecasting
3
anishgollakota / Stock-Prediction-Using-LSTMs
Built a stock prediction program in which the user can pick any company available on Yahoo! Finances and be able to predict the closing price of the stock based on the set date with high accuracy.
cnn-keras lstms machine-learning nvidia-stock-price stock-prediction
Language:Python 2
JekyllAndHyde8999 / Kaggle-Submissions
This repo contains all of my submissions to Kaggle competitions or datasets
binary-classification cnn-classification decision-tree-classifier imdb kaggle keras-tensorflow lenet-5 lstm-neural-networks lstms mnist-classification sentiment-analysis sklearn titanic-survival-prediction
Language:Jupyter Notebook 2
saqib1707 / MultiAgent-Pursuer-Evader-Problem
This repository contains the work done as part of my B.Tech Project
control-systems deep-learning lstms non-convex-optimization optimal-trajectories optimization pursuer-evader shepherding swarm-robotics
Language:Python 2
aju22 / Real-Time-ISL-Translation
Uses deep learning to translate Indian Sign Language in real-time
computer-vision convolutional-neural-networks deep-learning gesture-recognition lstms sign-language-recognition
Language:Python 1
bissessk / Using-Sentiment-Analysis-to-Predict-Stock-Price-Movements-Using-LSTMs
Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.
deep-learning deep-neural-networks dropouts lstms recurrent-neural-networks sentiment stock-price-prediction
Language:Jupyter Notebook 1
ChinmayMittal / ELL881
Course Repository for ELL881 (Special Topics:Modern Natural Language Processing), 6th Semester, 2023, IITD
bert good-turing-smoothing kneser-ney-smoothing lstms ner nlp smoothing-methods
Language:Jupyter Notebook 1
harshitw / TV-SCRIPT-GENERATION
Generation of tv scripts using rnn's of simpsons tv show.
tv-script-generation rnns lstms
Language:HTML 1
lanl / clarm
Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning
accelerator-physics autoregressive-modeling cvae forecasting generative-ai lstms spatiotemporal-analysis
Language:Python 1
prats0599 / hindi-nlp
State-of-the-art text classfication and language modelling in Hindi.
language-model sentiment-analysis hindi iitp-movie-reviews lstms
Language:Jupyter Notebook 1
sumedhachugh / Neural-Language-Generated-Text
Generated pseudo text using LSTMs (Long Short Term Memory networks) and GPT-2, evaluated how close this machine-generated text is to human-generated text by checking if they follow statistical features followed by human-generated text such as Zipf’s and Heap’s Laws for Words
transformers lstms text-generation natural-language-generation natural-language-processing nlg nlp zipfs-law
Language:Jupyter Notebook 1
mastercoder8 / ml_project
Machine Translation using LSTMs
lstms ml
Language:Jupyter Notebook 0
adamklie / predictMEE
Predicting missing metadata with recurrent neural network (RNNs) based entity extraction
neural-networks rnns lstms metadata-extraction sra
Language:Jupyter Notebook
Ankit152 / fake-news
The idea is to develop a machine learning program to identify when an article might be fake news.
fake-news text sentiment-analysis classification-algorithm keras-tensorflow lstms news-article machine-learning training-dataset label
Language:Jupyter Notebook
anujanegi / Image-Captioning
Naive Image Captioning
cnns deep-learning image-captioning lstms
Language:Python
JanaanL / Music-Prediction
Music Prediction Project for the CS 6355 Structured Prediction Spring 2021 class at the University of Utah
lstms machinelearning markov-chain
Language:Python
kamel402 / sportals
A model capable of detecting and capturing good clips from e-sport games.
e-sports lstms
Language:Jupyter Notebook
kousikr26 / enigma
Using LSTMs to crack ciphers such as caesar cipher, vigenere cipher and enigma
cipher cryptography lstms neural-network prediction decryption
Language:Jupyter Notebook
manashpratim / Sentiment-Analysis
adversarial-attacks keras lstms multimodal-deep-learning python sentiment-analysis tensorflow transformer
Language:Jupyter Notebook
prasadpatil99 / Stock-Prediction-using-LSTM
lstms rnn stock-market
Language:Jupyter Notebook

lstms

curiousily / Deep-Learning-For-Hackers

ArrasL / LRP_for_LSTM

perseus784 / Vehicle_Collision_Prediction_Using_CNN-LSTMs

dido1998 / Recurrent-Independent-Mechanisms

MrinmoiHossain / Udacity-Deep-Learning-Nanodegree

NotVinay / karaokey

crypto-code / Stock-Market

nla-group / ABBA-LSTM

RemeAjayi / ds-job-detective

RhuthuHegde / Tensorflow-coursera

aak-ash / Sentimental-Analysis

Ankit152 / Emotions-Detection-NLP

FelixSchuermann / speechenhancement-masterthesis

mahindrautela / CLARM

anishgollakota / Stock-Prediction-Using-LSTMs

JekyllAndHyde8999 / Kaggle-Submissions

saqib1707 / MultiAgent-Pursuer-Evader-Problem

aju22 / Real-Time-ISL-Translation

bissessk / Using-Sentiment-Analysis-to-Predict-Stock-Price-Movements-Using-LSTMs

ChinmayMittal / ELL881

harshitw / TV-SCRIPT-GENERATION

lanl / clarm

prats0599 / hindi-nlp

sumedhachugh / Neural-Language-Generated-Text

mastercoder8 / ml_project

adamklie / predictMEE

Ankit152 / fake-news

anujanegi / Image-Captioning

JanaanL / Music-Prediction

kamel402 / sportals

kousikr26 / enigma

manashpratim / Sentiment-Analysis

prasadpatil99 / Stock-Prediction-using-LSTM