mhart
Follow
Stars
Unsupervised text tokenizer for Neural Network-based text generation.
A Python toolbox for performing gradient-free optimization
Differentiable architecture search for convolutional and recurrent networks
[deprecated] Configuration Assessment, Visualization and Evaluation
🖥 Chrome automation made simple. Runs locally or headless on AWS Lambda.
Matlab implementations of Gaussian processes and other machine learning tools.
Reference implementation of Optimistic Expected Improvement.
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Automated Machine Learning with scikit-learn
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
A lightweight express app and leaflet frontend for previewing PostGIS queries
A framework for rich, composable web maps using React and MapboxGL.
Dirt Simple PostGIS HTTP API
Cuts a file pyramid of static vector tiles from a geojson file.
A low-level, lightweight protocol buffers implementation in JavaScript.
API Gateway custom domains as CloudFormation resources, backed by Let's Encrypt
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Automatic extraction of relevant features from time series:
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Neo-Async is thought to be used as a drop-in replacement for Async, it almost fully covers its functionality and runs faster
Library for fast text representation and classification.
Docker images and test runners that replicate the live AWS Lambda environment
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.