gogasca

gogasca's Stars

• GoogleCloudPlatform/notebook-kernels-mixer

  Language:Go71

• GoogleCloudPlatform/notebooks-extended-uis

  Language:Smarty74

• apache/tvm

  Open deep learning compiler stack for cpu, gpu and specialized accelerators

  Language:Python11.8k3.5k

• romange/helio

  A modern framework for backend development based on io_uring Linux interface

  Language:C++45250

• ploomber/ploomber

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  Language:Python3.5k237

• mito-ds/mito

  The mitosheet package, trymito.io, and other public Mito code.

  Language:Jupyter Notebook2.3k162

• jax-ml/jax

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

  Language:Python30.6k2.8k

• jupyter-server/enterprise_gateway

  A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

  Language:Python623222

• MrMino/dockernel

  Dockerized Jupyter kernels

  Language:Python5615

• GoogleCloudPlatform/ai-notebooks-extended

  Language:Jupyter Notebook2213

• flyteorg/flyte

  Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  Language:Go5.8k660

• tensorflow/cloud

  The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

  Language:Python37791

• GoogleCloudPlatform/keras-idiomatic-programmer

  Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

  Language:Jupyter Notebook813283

• sakjain92/Fractional-GPUs

  Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions

  Language:C15337

• QwertyJack/spark-cluster

  A Journey Into Big Data with Apache Spark

  Language:Shell45

• feast-dev/feast

  The Open Source Feature Store for Machine Learning

  Language:Python5.6k1k

• mhwilder/tf-keras-gcloud-deployment

  Training and deploying a TensorFlow tf.keras model using Google Cloud ML

  Language:Python235

• GoogleCloudPlatform/ai-platform-samples

  Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples

  Language:Jupyter Notebook460232

• logicalclocks/hopsworks

  Hopsworks - Data-Intensive AI platform with a Feature Store

  Language:Java1.2k144

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.2k1.2k

• ReviewNB/treon

  Easy to use test framework for Jupyter Notebooks

  Language:Python30529

• gclouduniverse/JupyterNotebooksDevelopmentManifesto

  Language:Shell494

• GoogleCloudPlatform/professional-services

  Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

  Language:Python2.8k1.3k

• nteract/papermill

  📚 Parameterize, execute, and analyze notebooks

  Language:Python6k430

• ageron/tf2_course

  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

  Language:Jupyter Notebook1.9k537

• GoogleCloudDataproc/initialization-actions

  Run in all nodes of your cluster before the cluster starts - lets you customize your cluster

  Language:Shell588512

• kashif/tf-keras-tutorial

  tf.keras + tf.data with Eager Execution

  Language:Jupyter Notebook7430

• gogasca/news_ml

  API service to collect News information via News API

  Language:Python41

• tony-framework/TonY

  TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

  Language:Java709164

• myleott/mnist_png

  MNIST converted to PNG format

  Language:Python24888