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Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Minimalistic 4D-parallelism distributed training framework for education purpose
This is the companion repository for the book How Query Engines Work.
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher.
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
A framework for trace-driven simulation of serverless Function-as-a-Service platforms
Lazily open petabyte-scale GRIB datasets consisting of trillions of GRIB messages from xarray
Benchmark LLMs against a set of high quality representative competitive coding problems sourced from cses.fi
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A cloud native embedded storage engine built on object storage.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
Next Generation Visual Programming System
From the Tensor to Stable Diffusion, a rough outline for a 1 week course.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Secure and fast microVMs for serverless computing.
Chiron: The M-to-N Deployment System for Serverless Workflow
A massively parallel, high-level programming language
Automatic resource configuration for serverless workflows.
A curated list of metacall frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
2
Updated May 4, 2024
A playbook for systematically maximizing the performance of deep learning models.
KiCad project for an IS0-9141 interface between a car and a micro-controller (ODB2)
🤖 Admyral enables continuous control monitoring for any custom control
Blackbox optimization arena to compare black box optimization methods
Standardized Serverless ML Inference Platform on Kubernetes