truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Language:Python
Total stars: 494
Stars trend:
27 Apr 2024
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#python
#ai, #deeplearning, #generativeai, #llmops, #machinelearning, #mlops, #modeldeployment, #python, #rag, #retrievalaugmentedgeneration, #typescript

EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Language:
Total stars: 16281
Stars trend:
19 May 2024
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#awesome, #awesomelist, #datamining, #deeplearning, #explainability, #interpretability, #largescalemachinelearning, #largescaleml, #machinelearning, #machinelearningoperations, #mloperations, #mlops, #mlops, #privacypreserving, #privacypreservingmachinelearning, #privacypreservingml, #productionmachinelearning, #productionml, #responsibleai

flyteorg/flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Language:Go
Total stars: 4948
Stars trend:
22 May 2024
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23 May 2024
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#go
#data, #dataanalysis, #datascience, #dataops, #declarative, #finetuning, #flyte, #golang, #grpc, #kubernetes, #kubernetesoperator, #llm, #machinelearning, #mlops, #orchestrationengine, #production, #productiongrade, #python, #scale, #workflow

GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Language:Jupyter Notebook
Total stars: 36368
Stars trend:
19 Jun 2024
1am ▌ +4
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#jupyternotebook
#dataengineering, #dataquality, #datascience, #deeplearning, #distributedml, #distributedtraining, #llms, #machinelearning, #mlops, #naturallanguageprocessing, #python, #pytorch, #ray

argilla-io/argilla
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Language:Python
Total stars: 3309
Stars trend:
19 Jun 2024
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#python
#activelearning, #ai, #annotationtool, #developertools, #gpt4, #humanintheloop, #langchain, #llm, #machinelearning, #mlops, #naturallanguageprocessing, #nlp, #rlhf, #textannotation, #textlabeling, #weaksupervision, #weaklysupervisedlearning

fmind/mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Language:Jupyter Notebook
Total stars: 483
Stars trend:
4 Jul 2024
6am ▉ +7
7am ████▎ +34
8am ██▎ +18
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#jupyternotebook
#automation, #datapipelines, #datascience, #machinelearning, #mlflow, #mlops, #pandera, #pydantic, #python

decodingml/llm-twin-course
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Language:Python
Total stars: 1172
Stars trend:
17 Jul 2024
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#python
#aws, #bytewax, #cometml, #course, #docker, #generativeai, #infrastructureascode, #largelanguagemodels, #llmops, #machinelearningengineering, #mlsystemdesign, #mlops, #pulumi, #qdrant, #qwak, #rag, #superlinked

iterative/datachain
DataChain 🔗 Process and curate unstructured data using local ML models and LLM calls
Language:Python
Total stars: 145
Stars trend:
23 Jul 2024
12pm ▏ +1
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4pm █████████▌ +76
#python
#ai, #cv, #dataanalytics, #datawrangling, #embeddings, #llm, #llmeval, #mlops, #multimodal

MLSysOps/MLE-agent
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Ollama, etc supported. :fireworks: Code RAG
Language:Python
Total stars: 565
Stars trend:
2 Sep 2024
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#python
#agent, #ai, #llm, #ml, #mle, #mlops

fmind/cookiecutter-mlops-package
Start building and deploying Python packages and Docker images for MLOps tasks.
Language:Python
Total stars: 104
Stars trend:
22 Sep 2024
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#python
#bestpractices, #cookiecutter, #mlops, #python, #template