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Achieve state of the art inference performance with modern accelerators on Kubernetes
A game theoretic approach to explain the output of any machine learning model.
Docker configuration for running VLLM on dual DGX Sparks
SGLang is a high-performance serving framework for large language models and multimodal models.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A high-throughput and memory-efficient inference and serving engine for LLMs
Distributed Asynchronous Hyperparameter Optimization in Python
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Open-source vector similarity search for Postgres
EnrichMCP is a python framework for building data driven MCP servers
Workshop for MLOps Community LLMs in Production (Part 2)
Notebooks for Large Language Models (LLMs) Specialization
A repository of 60 useful data science prompts for ChatGPT
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
a Hello World package to get introduced to the python installation process
Simulate the Franka Emika Panda robot in Gazebo using Docker
We are building an open database of COVID-19 cases with chest X-ray or CT images.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.