Stars
The resources of the preparation course for Databricks Data Engineer Associate certification exam
Ready-to-run Docker images containing Jupyter applications
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
https://huyenchip.com/ml-interviews-book/
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Multi-user server for Jupyter notebooks
Visualizations for machine learning datasets
A place in which we publish scripts for reproducible benchmarks.
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …
The Prometheus monitoring system and time series database.
Performance optimization for Spark running on Kubernetes
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Apache Spark - A unified analytics engine for large-scale data processing
A curated list of data engineering tools for software developers
A curated list of data engineering tools for software developers
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Easily install and load packages from the tidyverse
The fundamental package for scientific computing with Python.
Tensors and Dynamic neural networks in Python with strong GPU acceleration