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aml-class-19

Lviv Data Science Summer School 2019 lecture on Automated Machine Learning

batch-scoring

Batch scoring script for making predictions

benchm-ml

bitkom-2015-covertype

bolt

Bolt Online Learning Toolbox

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cm_ext

Cloudera Manager Extensibility Tools and Documentation.

covid19model

Code for modelling estimated deaths and cases for COVID19.

crfsuite

CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

dataset-shift-osdc16

Support material for my OSDC London 2016 talk on Dataset Shift in Machine Learning

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dsutils

Utilities for Python's data science ecosystem

grpc-kubernetes-skl-tutorial

A work-in-progress tutorial on how to expose a sklearn model via gRPC and deploy it via kubernetes

hackaton-sentiment-summarizer

A simple sentiment summarizer as a Chrome extension

hdfs

API and command line interface for HDFS

incubator-parquet-cpp

Mirror of Apache Parquet

ipython-notebooks

Collection of IPython Notebooks

joblib

Python function as pipeline jobs.

libhdfs3

libhdfs3 a native c/c++ hdfs client

lightning

Large-scale linear classification and regression in Python/Cython.

nut

Natural language Understanding Toolkit

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pycolmap

Python bindings for COLMAP

pydata-gbrt-tutorial

IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"

pyfm

Factorization machines in python

scikit-learn

scikit-learn main repo

scikit-learn-speed

Continuous benchmark suite for the scikit-learn project.

scikit-learn-tutorial

Applied Machine Learning in Python with scikit-learn

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

serving

A flexible, high-performance serving system for machine learning models