ClimbsRocks

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

empythy

Automated NLP sentiment predictions- batteries included, or use your own data

Concordia

Tracking machine learning: reconciling predictions at training time and serving time, tracking feature inputs and discrepancies over time, and more

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

ClimbsRocks.github.io

blog

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

robots_doing

Learning RL for robots by doing

tabular_ml

Collecting some thoughts to see if I want to do automl again.

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

aPlayfulLife

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

BeMyPermanentPerson

benchmarks

Comparison tool

BetterChatGPT

An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)

boto3

proposing a nit fix.

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

chooseFunDates

Making picking dates more fun and DRY. http://aPlayfulDate.com

devol

Automated deep neural network design via genetic programming

Fast-Parallel-DTW-kNN-Python

A fast and parallel implementation of the k-Nearest-Neighbour Search under the Dynamic Time Warping Metric

gh_pages_testing

gh_pagestesting

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

learn.turtlebot.com

We want you to learn TurtleBot (and Robotics)!

learning_backup

Storing some learning files

librealsense

Intel® RealSense™ SDK

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

nnabla

NNabla - Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.

rating_history

Download and parse credit rating history files that US rating agencies generate each month in accordance with SEC Rule 17g-7

school_comparisons

Get data about schools. Clearly a school can't be boiled down to just a bunch of data points, but it's a better starting point than just reading 5 opinions on the internet

xarm_ros

ROS packages for xArm series from UFACTORY