supporting code for pytorch on GCP bog series

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Refactoring taming-transformer for TPU

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

Enabling PyTorch on Google TPU

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

A robust Python tool for text-based AI training and generation using GPT-2.

Datasets, Transforms and Models specific to Computer Vision

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

Implementation of exact video detection

An open-registry for hosting Jina executors via container images

Argo Workflows: Get stuff done with Kubernetes.

Examples and demos built with Jina that help you onboarding

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

OpenMMLab Detection Toolbox and Benchmark

Compositional Video Event Specification

A simple baseline for one-shot multi-object tracking

A hyperparameter optimization framework

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

Videoflow community contributions

A library for encrypted, privacy preserving machine learning

A privacy preserving NLP framework

TFX is an end-to-end platform for deploying production ML pipelines

Apache Airflow