alex-fedorenk0's Stars
MicrosoftLearning/mslearn-azure-ml
mwaskom/seaborn
Statistical data visualization in Python
yasmk/apj-workshops-2024
MicrosoftLearning/mslearn-openai
microsoft/promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
zhulingchen/Machine-Learning-Engineering-for-Production-MLOps-Specialization
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
Ryota-Kawamura/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
deanmcniven/wsl2-vpn-support
This Powershell script will reconfigure the system routes to fix WSL2 networking when on a VPN
code-kern-ai/refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
pathwaycom/pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
dborrelli/chat-intents
Clustering sentence embeddings to extract message intent
Netflix/metaflow
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
FlagOpen/FlagEmbedding
Retrieval and Retrieval-augmented LLMs
openai/openai-cookbook
Examples and guides for using the OpenAI API
google/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
neuml/txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
UKPLab/gpl
Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
ddotta/awesome-polars
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
massgravel/Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
GoogleCloudPlatform/automlops
Build MLOps Pipelines in Minutes
DAGWorks-Inc/hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
sathishgang-db/anomaly_detection_using_databricks
aws-samples/aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
fluentpython/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
fbaptiste/python-deepdive
Python Deep Dive Course - Accompanying Materials
great-expectations/great_expectations
Always know what to expect from your data.
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
yuankunzhang/charming
A visualization library for Rust