Stars
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A data augmentations library for audio, image, text, and video.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Add dynamically generated Kaggle Tier & Medals on your readme.
A kubernetes based framework for hassle free handling of datasets
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
A library for efficient similarity search and clustering of dense vectors.
Tensorflow implementation of Swin Transformer model.
BirdCLEF 2021 - Birdcall Identification 4th place solution
Kubeflow AI Reference Platform Deployment Manifests
Action recognition tutorial using UCF-101 dataset.
Transformer-based image captioning extension for pytorch/fairseq
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
A power network simulator with a Reinforcement Learning-focused usage.
Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The a…
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
scikit-learn cross validators for iterative stratification of multilabel data
the 3rd place solution code of Kaggle TReNDS Neuroimaging (https://www.kaggle.com/c/trends-assessment-prediction/overview)
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.
🐳 Web Interface for the Docker Registry HTTP API V2 written in Ruby on Rails.
Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019