ray by ray-project
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
created at Oct. 25, 2016, 7:38 p.m.
the-elements-of-statistical-learning by maitbayev
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
created at April 18, 2018, 7:51 p.m.
metric-learn by scikit-learn-contrib
Metric learning algorithms in Python
created at Nov. 2, 2013, 8:29 a.m.
Neuraxle by Neuraxio
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
created at March 26, 2019, 9:01 p.m.
ml-workspace by ml-tooling
🛠 All-in-one web-based IDE specialized for machine learning and data science.
created at May 27, 2019, 4:55 p.m.
nn_builder by p-christ
Build neural networks with less boilerplate code
created at Jan. 21, 2019, 9:29 a.m.
cornac by PreferredAI
A Comparative Framework for Multimodal Recommender Systems
created at July 17, 2018, 6:31 a.m.
transformers by huggingface
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
created at Oct. 29, 2018, 1:56 p.m.
skorch by skorch-dev
A scikit-learn compatible neural network library that wraps PyTorch
created at July 18, 2017, 12:13 a.m.
garage by rlworkgroup
A toolkit for reproducible reinforcement learning research.
created at June 10, 2018, 9:31 p.m.
open-solution-value-prediction by minerva-ml
Open solution to the Santander Value Prediction Challenge 
created at June 19, 2018, 8:31 p.m.