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Tensors and Dynamic neural networks in Python with strong GPU acceleration
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.
Extremely fast Query Engine for DataFrames, written in Rust
Cosmos-Curate is a powerful video curation system that processes, analyzes, and organizes video content using advanced AI models and distributed computing.
A native Rust library for Delta Lake, with bindings into Python
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A library to fastly decode video with ffmpeg and rust
A library for building fast, reliable and evolvable network services.
A PyTorch native platform for training generative AI models
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, a…
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
A modern model graph visualizer and debugger
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headq…
Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
Development repository for the Triton language and compiler
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Curated coding interview preparation materials for busy software engineers
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Bazel rules for building OCI containers
⚖️ The CNCF Technical Oversight Committee (TOC) is the technical governing body of the CNCF Foundation.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions