Magnificent app which corrects your previous console command.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Deep Learning for humans

🎨 Diagram as Code for prototyping cloud system architectures

The uncompromising Python code formatter

TensorFlow code and pre-trained models for BERT

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Project documentation with Markdown.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Best Practices on Recommendation Systems

🚀 The fast, Pythonic way to build MCP servers and clients

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

Deep universal probabilistic programming with Python and PyTorch

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.

Pretty and useful exceptions in Python, automatically.

Fast data visualization and GUI tools for scientific / engineering applications

dataset and code for 2016 paper "Learning a Driving Simulator"

Learning to Learn in TensorFlow

A model-driven approach to building AI agents in just a few lines of code.

Google Calendar Command Line Interface

Deep Convolutional Generative Adversarial Networks

Main repository for Vispy