All Projects → Stockprediction → Similar Projects or Alternatives

644 Open source projects that are alternatives of or similar to Stockprediction

Robust Lane Detection
Stars: ✭ 110 (-17.91%)
Mutual labels:  lstm
Kerasr
R interface to the keras library
Stars: ✭ 90 (-32.84%)
Mutual labels:  recurrent-neural-networks
Multilstm
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
Stars: ✭ 122 (-8.96%)
Mutual labels:  lstm
Deep Learning For Beginners
videos, lectures, blogs for Deep Learning
Stars: ✭ 89 (-33.58%)
Mutual labels:  recurrent-neural-networks
Twitter Emotion Recognition
Models for predicting emotions from English tweets.
Stars: ✭ 111 (-17.16%)
Mutual labels:  lstm
End To End Sequence Labeling Via Bi Directional Lstm Cnns Crf Tutorial
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Stars: ✭ 87 (-35.07%)
Mutual labels:  lstm
Wekadeeplearning4j
Weka package for the Deeplearning4j java library
Stars: ✭ 127 (-5.22%)
Mutual labels:  deeplearning4j
Lstm chem
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Stars: ✭ 87 (-35.07%)
Mutual labels:  lstm
Deep Learning Based Ecg Annotator
Annotation of ECG signals using deep learning, tensorflow’ Keras
Stars: ✭ 110 (-17.91%)
Mutual labels:  lstm
Text classification
Text Classification Algorithms: A Survey
Stars: ✭ 1,276 (+852.24%)
Mutual labels:  recurrent-neural-networks
Bit Rnn
Quantize weights and activations in Recurrent Neural Networks.
Stars: ✭ 86 (-35.82%)
Mutual labels:  recurrent-neural-networks
Context
ConText v4: Neural networks for text categorization
Stars: ✭ 120 (-10.45%)
Mutual labels:  lstm
Exermote
Using Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-19.4%)
Mutual labels:  lstm
Contextual Utterance Level Multimodal Sentiment Analysis
Context-Dependent Sentiment Analysis in User-Generated Videos
Stars: ✭ 86 (-35.82%)
Mutual labels:  lstm
Self Attention Classification
document classification using LSTM + self attention
Stars: ✭ 84 (-37.31%)
Mutual labels:  lstm
Tesseract
This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.
Stars: ✭ 43,199 (+32138.06%)
Mutual labels:  lstm
Yolo Custom Object Detector
Making custom object detector using Yolo (Java and Python)
Stars: ✭ 84 (-37.31%)
Mutual labels:  deeplearning4j
E3d lstm
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Stars: ✭ 129 (-3.73%)
Mutual labels:  lstm
Deep Lyrics
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Stars: ✭ 127 (-5.22%)
Mutual labels:  recurrent-neural-networks
Photolabeller
Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer
Stars: ✭ 119 (-11.19%)
Mutual labels:  deeplearning4j
Numpy Ml
Machine learning, in numpy
Stars: ✭ 11,100 (+8183.58%)
Mutual labels:  lstm
Tnn
Biologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-38.06%)
Mutual labels:  recurrent-neural-networks
Tensorflow seq2seq chatbot
Stars: ✭ 81 (-39.55%)
Mutual labels:  lstm
Ml Ai Experiments
All my experiments with AI and ML
Stars: ✭ 107 (-20.15%)
Mutual labels:  lstm
Simplednn
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
Stars: ✭ 81 (-39.55%)
Mutual labels:  recurrent-neural-networks
Copper price forecast
copper price(time series) prediction using bpnn and lstm
Stars: ✭ 81 (-39.55%)
Mutual labels:  lstm
Awesome Deep Learning Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Stars: ✭ 1,469 (+996.27%)
Mutual labels:  lstm
Emnist
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-39.55%)
Mutual labels:  recurrent-neural-networks
Jlm
A fast LSTM Language Model for large vocabulary language like Japanese and Chinese
Stars: ✭ 105 (-21.64%)
Mutual labels:  lstm
Pytorch Sentiment Analysis Classification
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
Stars: ✭ 80 (-40.3%)
Mutual labels:  lstm
Machine Learning
My Attempt(s) In The World Of ML/DL....
Stars: ✭ 78 (-41.79%)
Mutual labels:  lstm
Rcnn Text Classification
Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (-5.22%)
Mutual labels:  recurrent-neural-networks
Pointer Networks
Pointer Networks Implementation in Keras
Stars: ✭ 118 (-11.94%)
Mutual labels:  lstm
Repo 2016
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Stars: ✭ 103 (-23.13%)
Mutual labels:  lstm
Gaussianprocesses
Python3 project applying Gaussian process regression for forecasting stock trends
Stars: ✭ 78 (-41.79%)
Mutual labels:  stock-price-prediction
See Rnn
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Stars: ✭ 102 (-23.88%)
Mutual labels:  lstm
Algobot
A C++ stock market algorithmic trading bot
Stars: ✭ 78 (-41.79%)
Mutual labels:  stock-price-prediction
Reinforcementlearning Atarigame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Stars: ✭ 118 (-11.94%)
Mutual labels:  lstm
Dialogue Understanding
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Stars: ✭ 77 (-42.54%)
Mutual labels:  lstm
Gru Svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-43.28%)
Mutual labels:  recurrent-neural-networks
Deep Generation
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
Stars: ✭ 101 (-24.63%)
Mutual labels:  lstm
Keras Sru
Implementation of Simple Recurrent Unit in Keras
Stars: ✭ 76 (-43.28%)
Mutual labels:  recurrent-neural-networks
Qrnn
Quasi-recurrent Neural Networks for Keras
Stars: ✭ 74 (-44.78%)
Mutual labels:  recurrent-neural-networks
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
Stars: ✭ 1,986 (+1382.09%)
Mutual labels:  recurrent-neural-networks
Abstractive Summarization
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Stars: ✭ 128 (-4.48%)
Mutual labels:  lstm
Pytorch convlstm
convolutional lstm implementation in pytorch
Stars: ✭ 126 (-5.97%)
Mutual labels:  lstm
Nlp Models Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Stars: ✭ 1,603 (+1096.27%)
Mutual labels:  lstm
Pytorch gbw lm
PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
Stars: ✭ 101 (-24.63%)
Mutual labels:  lstm
Codegan
[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Stars: ✭ 73 (-45.52%)
Mutual labels:  recurrent-neural-networks
Recurrent Environment Simulators
Deepmind Recurrent Environment Simulators paper implementation in tensorflow
Stars: ✭ 73 (-45.52%)
Mutual labels:  recurrent-neural-networks
Top Deep Learning
Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+918.66%)
Mutual labels:  recurrent-neural-networks
Twitter Stock Recommendation
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
Stars: ✭ 73 (-45.52%)
Mutual labels:  stock-price-prediction
Rnn Trajmodel
The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
Stars: ✭ 72 (-46.27%)
Mutual labels:  recurrent-neural-networks
Lstm Autoencoders
Anomaly detection for streaming data using autoencoders
Stars: ✭ 113 (-15.67%)
Mutual labels:  lstm
Keras Timeseries Prediction
Time series prediction with Sequential Model and LSTM units
Stars: ✭ 100 (-25.37%)
Mutual labels:  lstm
Keras Tcn
Keras Temporal Convolutional Network.
Stars: ✭ 1,177 (+778.36%)
Mutual labels:  recurrent-neural-networks
Keras Video Classifier
Keras implementation of video classifier
Stars: ✭ 100 (-25.37%)
Mutual labels:  lstm
3d Reconstruction With Neural Networks
3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)
Stars: ✭ 71 (-47.01%)
Mutual labels:  recurrent-neural-networks
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-47.76%)
Mutual labels:  recurrent-neural-networks
Stock Prediction
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Stars: ✭ 125 (-6.72%)
Mutual labels:  stock-price-prediction
61-120 of 644 similar projects