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Name: Vlad
Type: User
Location: Ukrain
Name: Vlad
Type: User
Location: Ukrain
Fast and flexible AutoML with learning guarantees.
Package for positive unlabeled and label noise learning
Keras Implementation of adverserial autoencoder (AAE)
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automatic feature engineering using deep learning and Bayesian inference.
accessible AutoML for deep learning.
Deep Learning with Metaheuristic
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Python Backtrader - Metaquotes MQL5 - API
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
R code to encode categorical features for machine learning
This is the native Python implementation of CPT(compact Prediction Tree)
Скрипты к статье
Tutorial videos, posts, and source code in Python & R to assist algorithmic traders and DARWIN investors in getting up and running with the DARWIN API.
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Algorithmic trading with deep learning experiments
Semi-automated machine learning pipelines
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
Library for reservoir computing using echo state networks.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Echo State Networks implementation in Numpy/Scipy
An R package to create and visualise fast-and-frugal decision trees (FFTs)
Repository with files used for the blog post "Predicting Fraud with Autoencoders and Keras"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.