MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
created at April 1, 2019, 8:23 p.m.
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.
Metric learning algorithms in Python
created at Nov. 2, 2013, 8:29 a.m.
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.
Build neural networks with less boilerplate code
created at Jan. 21, 2019, 9:29 a.m.
A Comparative Framework for Multimodal Recommender Systems
created at July 17, 2018, 6:31 a.m.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
created at Oct. 29, 2018, 1:56 p.m.
A toolkit for reproducible reinforcement learning research.
created at June 10, 2018, 9:31 p.m.
Open solution to the Santander Value Prediction Challenge
created at June 19, 2018, 8:31 p.m.
Open solution to the Data Science Bowl 2018
created at Jan. 15, 2018, 2:30 p.m.
Open solution to the Home Credit Default Risk challenge
created at May 18, 2018, 9:36 p.m.
Open solution to the Toxic Comment Classification Challenge
created at Jan. 4, 2018, 4:29 p.m.
PyTorch implementation of neural style transfer algorithm
created at July 25, 2018, 7:35 p.m.
Open solution to the Airbus Ship Detection Challenge
created at Aug. 8, 2018, 7:15 p.m.