High-performance library for gradient boosting on decision trees
A lightweight audio-to-MIDI converter with pitch bend detection
Message Passing Neural Networks for Molecule Property Prediction
A machine learning library for detecting anomalies in signals
Natural Gradient Boosting for Probabilistic Prediction
Gradient boosting framework based on decision tree algorithms
Implementation of Make-A-Video, new SOTA text to video generator
Visual Studio Code client for Tabnine
Package of deep-learning based CTR models
Open Data, more than 50 financial data
A machine learning tool for automated prediction engineering
An interpretable and efficient predictor using pre-trained models
textgen, Text Generation models
Easy-to-use,Modular and Extendible package of deep-learning models
A lightweight vision library for performing large object detection
A Python toolbox for scalable outlier detection
Python library for decision tree visualization & model interpretation
DoWhy is a Python library for causal inference
Benchmark datasets, data loaders, and evaluators for graph machine
High-level training, data augmentation, and utilities for Pytorch
An open source python library for automated feature engineering
Package that makes it trivial to create and evaluate machine learning
Build and deploy machine learning microservices
Detecting silent model failure. NannyML estimates performance
Hyperparameter Optimization for TensorFlow, Keras and PyTorch