#

mlops

Here are 2,129 public repositories matching this topic...

vllm-project / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

amd cuda inference pytorch transformer llama gpt rocm model-serving mlops llm inferentia llmops llm-serving trainium

Updated May 9, 2024
Python

airflow

apache / airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Updated May 9, 2024
Python

wandb

wandb / wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

data-science machine-learning reinforcement-learning deep-learning tensorflow keras collaboration pytorch hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning hyperparameter-search model-versioning jax mlops experiment-track ml-platform

Updated May 9, 2024
Python

Striveworks / valor

Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.

computer-vision evaluation classification object-detection image-segmentation evaluation-metrics model-evaluation mlops

Updated May 9, 2024
Python

bentoml / OpenLLM

Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.

Updated May 9, 2024
Python

DAGWorks-Inc / burr

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.

state-management ai state-machine graphs visibility persistent-data-structure chatbot-framework dags burr mlops llms generative-ai llmops

Updated May 9, 2024
Python

weaviate

weaviate / weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.

Updated May 9, 2024
Go

aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

training aws data-science machine-learning reinforcement-learning deep-learning examples jupyter-notebook inference sagemaker mlops

Updated May 9, 2024
Jupyter Notebook

google / JetStream

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

gpu inference pytorch transformer llama gpt gemma model-serving tpu jax mlops large-language-models llm llmops llm-inference llama2

Updated May 9, 2024
Python

lancedb / lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

python rust data-science machine-learning computer-vision deep-learning embeddings dataops data-analytics data-analysis data-format apache-arrow data-centric mlops duckdb llms

Updated May 9, 2024
Rust

Multiwoven / docs

Multiwoven Documentation

open-source data-engineering data-analysis mlops data-warehouses reverse-etl data-activation

Updated May 9, 2024
MDX

patbi / 100_Days_of_Data_Engineering_ML_AI_DL

100 Days of Data Engineering / ML_AI_DL

agent data ai apps systems cyber-security mlops llms llmops

Updated May 9, 2024
Python

determined

determined-ai / determined

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

kubernetes data-science machine-learning deep-learning tensorflow keras pytorch hyperparameter-optimization hyperparameter-tuning hyperparameter-search distributed-training ml-infrastructure mlops ml-platform

Updated May 9, 2024
Go

flyte

flyteorg / flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Updated May 9, 2024
Go

kubeflow / training-operator

Distributed ML Training and Fine-Tuning on Kubernetes

python kubernetes machine-learning ai tensorflow gpu pytorch distributed xgboost fine-tuning kubeflow jax mlops huggingface llm

Updated May 9, 2024
Go

qdrant

qdrant / qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Updated May 9, 2024
Rust

dagster-io / dagster

An orchestration platform for the development, production, and observation of data assets.

python metadata workflow data-science etl analytics scheduler orchestration data-engineering data-integration data-pipelines workflow-automation mlops dagster data-orchestrator

Updated May 9, 2024
Python

kolena

kolenaIO / kolena

Python client for Kolena's machine learning testing platform

testing machine-learning evaluation evaluation-metrics evaluation-framework mlops evaluate-models llmops

Updated May 9, 2024
Python

kubeflow / pipelines

Machine Learning Pipelines for Kubeflow

kubernetes data-science machine-learning pipeline kubeflow mlops kubeflow-pipelines

Updated May 9, 2024
Python

pytorch / serve

Serve, optimize and scale PyTorch models in production

docker kubernetes machine-learning cpu deep-learning metrics gpu optimization pytorch serving mlops

Updated May 9, 2024
Java

Improve this page

Add a description, image, and links to the mlops topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the mlops topic, visit your repo's landing page and select "manage topics."