535 Open source projects that are alternatives of or similar to Limit_orderbook_prediction

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

NN based lossless compression

Video prediction using lstm and unet

Some of the ML and DL related reading materials, research papers that I've read

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Time series prediction with Sequential Model and LSTM units

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

QA - Answer Selection (Rank candidate answers for a given question)

Image Captioning: Implementing the Neural Image Caption Generator with python

A Natural Language Toolkit for Indian Languages

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Delightful npm packages that make you say "wow, didn't know that was possible!"

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

language model in Chinese，基于Pytorch官方文档实现

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Efficient and easy to use transliteration for Indian languages

Self-contained Machine Learning and Natural Language Processing library in Go

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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

Named Entity Recognition with RNN, implemented by Chainer

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The Official Deep Learning Framework for Route-based Place Recognition

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

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使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

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light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Bangla Machine Translator

📚 Text classification library with Keras

Sentiment Analysis with LSTMs in Tensorflow

Ordinal regression in Python

Implementation of Neural Image Captioning model using Keras with Theano backend

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

speaker diarization system using an LSTM

GPT-2 Telegram Chat bot

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Convert TensorFlow models to ONNX

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

Another attempt to use Deep-Learning in the financial markets

Social LSTM using PyTorch for Vehicle Data

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LSTM-CRF for NER with ConLL-2002 dataset

keras를 이용한 딥러닝 기초 학습

Some interesting TensorFlow tutorials for beginners.

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A simple neural network for python autocompletion

Chatbot in 200 lines of code using TensorLayer

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Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

in progress