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

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

Quasi-recurrent Neural Networks for Keras

Code for reproducing Flow ++ experiments

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

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

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

A curated list of practical financial machine learning tools and applications.

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

🟣 Object detection of abstract shapes with neural networks

Arrays with arbitrarily nested named components.

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

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

A simple GUI tool for generating adversarial poses of objects.

Various CNN models for CIFAR10 with Chainer

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Research Framework for easy and efficient training of GANs based on Pytorch

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

Code for the Lovász-Softmax loss (CVPR 2018)

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Computational Cognitive Neuroscience, Fourth Edition

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

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

Machine learning and data science blog.

Machine Learning for High Energy Physics.

Research code need not be ugly.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

RObust document image BINarization

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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

Application of machine learning to the Coinbase (GDAX) orderbook

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Deep Learning over PyTorch

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

Self-organizing maps in Go

JeVois smart machine vision framework

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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

Keras implementations of Generative Adversarial Networks.

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

✨Fast Coreference Resolution in spaCy with Neural Networks

Datasets, tools, and benchmarks for representation learning of code.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

🚗 🏎️ 🎮 online 3D multiplayer neural networks based racing game

A High-Quality Real Time Upscaler for Anime Video

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

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

Flexible classic and NeurAl Retrieval Toolkit

🛠 All-in-one web-based IDE specialized for machine learning and data science.