tryanamertayasa's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
openai/openai-cookbook
Examples and guides for using the OpenAI API
OpenInterpreter/open-interpreter
A natural language interface for computers
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
langflow-ai/langflow
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
recommenders-team/recommenders
Best Practices on Recommendation Systems
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
GoogleContainerTools/kaniko
Build Container Images In Kubernetes
eosphoros-ai/DB-GPT
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
visenger/awesome-mlops
A curated list of references for MLOps
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
embedchain/embedchain
Memory for AI agents
alexeygrigorev/data-science-interviews
Data science interview questions and answers
keyvanakbary/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
zenml-io/zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
chris-chris/ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
dstackai/dstack
dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI across any cloud or on-prem. It supports NVIDIA, AMD, and TPU.
DataTalksClub/awesome-data-podcasts
A list of awesome data podcasts
huggingface/education-toolkit
Educational materials for universities
IndoNLP/nusa-crowd
A collaborative project to collect datasets in Indonesian languages.
mlops-guide/mlops-guide.github.io
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
squaredev-io/whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
caraml-dev/mlp
A platform for developing and operating the machine learning systems at the various stages of machine learning life cycle.