🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
created at Nov. 1, 2017, 4:04 p.m.
Code for the Kaggle acquire valued shoppers challenge
created at April 15, 2014, 5 a.m.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
created at Oct. 30, 2020, 3:25 p.m.
Publicly available event datasets and transforms.
created at July 11, 2019, 10:28 p.m.
Tabular Deep Learning Library for PyTorch
created at Aug. 11, 2023, 4:41 a.m.
A fast Evolution Strategy implementation in Python
created at June 16, 2017, 9:31 a.m.
Open solution to the TGS Salt Identification Challenge
created at July 24, 2018, 9:29 a.m.
Pytorch Lightning code guideline for conferences
created at Aug. 23, 2019, 4:50 p.m.
PyTorch implementation of neural style transfer algorithm
created at July 25, 2018, 7:35 p.m.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
created at Oct. 11, 2021, 2:48 p.m.
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
created at March 27, 2020, 5:53 p.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.