826 Open source projects that are alternatives of or similar to Stock Price Prediction Lstm

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Video Platform for Action Recognition and Object Detection in Pytorch

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

A tensorflow implementation of "Generating Sentences from a Continuous Space"

List of articles related to deep learning applied to music

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Accelerate Neural Net Training by Progressively Freezing Layers

Autodifferentiation package in Rust.

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

🟣 Object detection of abstract shapes with neural networks

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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

A stream-based approach to algorithmic trading and backtesting in Node.js

RadIO is a library for data science research of computed tomography imaging

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

✨Fast Coreference Resolution in spaCy with Neural Networks

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

End-to-end training of sparse deep neural networks with little-to-no performance loss.

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

TensorFlow Tutorials

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Gradient based Hyperparameter Tuning library in PyTorch

18.S096 - Applications of Scientific Machine Learning

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Keras implementation of Legendre Memory Units

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

💹 openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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

A single / multi layer / recurrent neural network written in Golang.

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

keras project that parses and analyze english resumes

Scalable Implementation of Deep CFR and Single Deep CFR

Machine Learning notebooks for refreshing concepts.

A PyTorch Library for Accelerating 3D Deep Learning Research

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Avalanche: a End-to-End Library for Continual Learning.

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

Realistic Handwriting with Tensorflow

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Frame-Recurrent Video Super-Resolution (official repository)

Bayesian Deep Learning: A Survey

Train an RL agent to localize actively (PyTorch)

GPU-accelerated Factors analysis library and Backtester

A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Statistical and Algorithmic Investing Strategies for Everyone

Applying Data Science and Machine Learning to Solve Real World Business Problems

Code for Stanford CS224D: deep learning for natural language understanding

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)