Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Supervised ML using classification algorithms that predicts whether a complaint will be disputed by a customer or not.

Standardized Serverless ML Inference Platform on Kubernetes

Prediction of NYC taxi trip duration using machine learning

Scalable machine 🤖 learning for time series forecasting.

📘 The MLOps stack component for experiment tracking

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

This is GEM repo, as it has all the Hands-On ML notebooks

Analysis and prediction of NYC violation tickets using big data and machine learning techniques.

Amazon SageMaker Managed Spot Training Examples

FADCIL is a cutting-edge deep learning framework based on YOLO and 3D U-Net, designed for the automatic detection of COVID-19 from chest CT scans. This repository provides the source code for FADCIL, which identifies and quantifies lung lesions caused by COVID-19 with high precision, differentiating them from other pulmonary diseases.

FLAMES is a tool for prioritizing genes in GWAS loci

This repository contains the code and the appendix for the paper Optimizing BioTac Simulation for Realistic Tactile Perception by Wadhah Zai El Amri and Nicolás Navarro-Guerrero.

Scalable Python DS & ML, in an API compatible & lightning fast way.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

ML projects using a variety of different methods for solving classification problems

Crypto & Stock* price prediction with regression models.

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Time series forecasting with machine learning models