232 Open source projects that are alternatives of or similar to Reinvent Randomized

Anomaly detection implemented in Keras

🥕 Evolutionary Neural Networks in JavaScript

Deep Reinforcement Learning based Trading Agent for Bitcoin

Implementation of State-of-the-art Text Classification Models in Pytorch

Open Source Photometric classification https://supernnova.readthedocs.io

Visualizing RNNs using the attention mechanism

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Self driving car in GTAV with Deep Learning

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

RMDL: Random Multimodel Deep Learning for Classification

A Recurrent Neural Network to predict Bitcoin value

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Simple and comprehensive tutorials in TensorFlow

parsing scene images with understanding geometric perspective in the loop

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

VIP cheatsheets for Stanford's CS 230 Deep Learning

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Lightweight C++11 library for building deep recurrent neural networks

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Char-RNN implemented using TensorFlow.

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

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

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

Deep learning for price movement prediction using high frequency limit order data

This is an open sourced book on deep learning.

TensorFlow and Deep Learning Tutorials

Reinforcement Learning for Portfolio Management

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

RNN-based generative models for speech.

The RWTH extensible training framework for universal recurrent neural networks

name entity recognition with recurrent neural network(RNN) in tensorflow

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Machine Reading Comprehension in Tensorflow

Machine learning models for time series analysis

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Neural Network for HFT-trading [experimental]

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Computer-generated poetry

Named Entity Recognition using multilayered bidirectional LSTM

Neural networks library for machine learning on PHP

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

PyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Text classifier for Hierarchical Attention Networks for Document Classification

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Named Entity Recognition with RNN, implemented by Chainer

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow