6609 Open source projects that are alternatives of or similar to Crypto Rnn

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

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

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

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

TensorFlow Tutorials

Reinforcement Learning for Portfolio Management

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.

Neural machine translator for English2German translation.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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

PyTorch tutorial for learners

How to build RNNs and LSTMs from scratch with NumPy.

Deep learning codes and projects using Python

🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

Application of machine learning to the Coinbase (GDAX) orderbook

Anomaly detection for temporal data using LSTMs

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Rust language general purpose elliptic curve cryptography.

Wolves Among the Sheep

Practical Notebooks for the Deep Learning Indaba 2018

Keras implementation of Sketch RNN

CNN image classifier implemented in Keras Notebook 🖼️.

Scripts to manipulate Mstar firmware binaries (e.g. MstarUpgrade.bin, LetvUpgrade.bin etc)

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

📊 Algorithm Visualizer for IPython/Jupyter Notebook

Control your lights with dab and t-pose, duh

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

Examples of single-cell genomic analysis accelerated with RAPIDS

High-quality Neural Networks for Computer Vision 😎

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

Copy-paste augmentation for segmentation and detection tasks

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Smile detection with a deep convolutional neural net, with Keras.

A neural conversation model

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A blog for data analytics using data science technologies

Tensorflow-in-Practice-Specialization

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Programming with Python for Data Science Microsoft

A combination of Autoencoder and Robust PCA

PTT 八卦版問答中文語料