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Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🥑 Language focused docker images, minus the operating system.
This is a collection of resources that shed light on the inner workings of Kubernetes
OpenTelemetry Python API and SDK
AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes
Mesh TensorFlow: Model Parallelism Made Easier
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A performant and modular runtime for TensorFlow
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and t…
Making text a first-class citizen in TensorFlow.
Guide for building custom op for TensorFlow
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
FlatBuffers: Memory Efficient Serialization Library
Machine Learning Toolkit for Kubernetes
a fast, scalable, multi-language and extensible build system
An Open Source Machine Learning Framework for Everyone
course planning repo for "introduction to electrical prototyping"