7711 Open source projects that are alternatives of or similar to Btctrading

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

A repository to keep track of all the code that I end up writing for my blog posts.

Extending broom for time series forecasting

Using Kalman Filter to Predict Corona Virus Spread

Machine learning models for time series analysis

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Application of machine learning to the Coinbase (GDAX) orderbook

Scalable machine 🤖 learning for time series forecasting.

RNN based Time-series Anomaly detector model implemented in Pytorch.

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Solution to Kaggle - Web Traffic Time Series Forecasting

Alpine Container for Machine Learning

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

Learn advanced data science on real-life, curated problems

Lets Learn AI

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

I will update this repository to learn Machine learning with python with statistics content and materials

Information about my experiences on ethical hacking 💀

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Service Classification based on Service Description

IEEE "Invited Talk on Deep Learning" 03/02/2018

High Quality Monocular Depth Estimation via Transfer Learning

Pruning and other network surgery for trained TF.Keras models.

Make a pull request. Let's hack the ocktober in an innovative way.

Try out deep learning models online on Google Colab

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

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

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Create automatic playlists by using Deep Learning to *listen* to the music

This package includes basic tools for time series analysis, compatible with incomplete data.

My Solution to Assignments of CS231n in Winter2016

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

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

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving

Allstate Kaggle Competition ML Capstone Project

📢 Ready to learn or review your knowledge!

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

MLBox is a powerful Automated Machine Learning python library.

Implementation of soft dynamic time warping in pytorch

R package to interface with OpenML

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Implementation of the Sliced Wasserstein Autoencoders

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

A Python library for integrating model-based and judgmental forecasting

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Pytorch implementation of the DeepDream computer vision algorithm

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Breast Cancer Classification using CNN and transfer learning