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Cryptocurrency automatic trading bot using Deep Learning method
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more
DeFi Pulse Adapters - Official Repository so DeFi projects can keep their metrics up to date on DeFi Pulse
A guide to available tools and projects for analyzing and managing risk within DeFi.
DeFi SDK Makes Money Lego Work
Defi PancakeSwap bot is programmed in Python to buy and sell tokens in seconds once the target is hit.
A Deep Learning based project for colorizing and restoring old images (and video!)
DeployR fork of the popular R package, Rserve.
Machine Learning for Skin Disease Classification
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
A Django application developped for classification of a diabetes complication that affects eyes
Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection
:art: Diagram as Code for prototyping cloud system architectures
Generate Diverse Counterfactual Explanations for any machine learning model.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Showcase for using R + MXNET along with AWS and bitfusion for deep learning.
Deep GPU Training System
projeto de dissertação com o Numerai Tournament
Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
MLT Study Group resources: Deep Learning
Python implementation of Dynamic Mode Decomposition (DMD) and Multi-Resolution Dynamic Mode Decomposition (mrDMD) algorithms
Microsoft Distributed Machine Learning Tookit
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.
An implementation of Deep Q-Network using Caffe
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.