195 skills found · Page 1 of 7
ray-project / RayRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
mlc-ai / Mlc LlmUniversal LLM Deployment Engine with ML Compilation
stas00 / Ml EngineeringMachine Learning Engineering Open Book
amazon-archives / Amazon DsstneDeep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
meltano / MeltanoMeltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
chris-chris / Ml Engineer RoadmapWIP: Roadmap to becoming a machine learning engineer in 2020
GoogleCloudPlatform / Cloudml SamplesCloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
emedvedev / Attention OcrA Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
lmstudio-ai / Mlx EngineLM Studio Apple MLX engine
chaos-genius / Chaos GeniusML powered analytics engine for outlier detection and root cause analysis.
Paulescu / Kubernetes For Ml EngineersJust enough Kubernetes for you to fly
polyaxon / TracemlEngine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
amanchadha / Coursera Machine Learning Engineering For Prod Mlops SpecializationProgramming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
katanaml / Katana SkipperSimple and flexible ML workflow engine
Pivotal-Open-Source-Hub / StockInference SparkStock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
mhuzaifadev / Machine Learning Zero To HeroWelcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.
PacktPublishing / EngineeringMLOpsEngineering MLOps, published by Packt
sararob / Tswift DetectionUsing the TensorFlow Object Detection API and Cloud ML Engine to build a Taylor Swift detector
GoogleCloudPlatform / Tensorflow Lifetime ValuePredict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
augustwester / SearchthearxivThe code powering searchthearxiv.com, a simple semantic search engine for more than 300,000 ML papers on arXiv.
