Julien Heiduk's starred repositories
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
data-engineering-zoomcamp
Free Data Engineering course!
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
google-api-python-client
🐍 The official Python client library for Google's discovery based APIs.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
textdistance
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
common-intern
🤖 A selenium script to automatically apply to software engineering internships.
scikit-network
Graph Algorithms
AWS-Slides
Contains screenshots of all the slides of Andrew Brown's AWS Course
SummerTime
An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo
youtube_search
Tool for searching for youtube videos to avoid using their heavily rate-limited API
gym-cryptotrading
OpenAI Gym Environment API based Bitcoin trading environment
lighthouse-batch-parallel
A module for helping collecting websites' Lighthouse audit data in batches. Get the report data stream in CSV, JS Object or JSON format. Also provide a cli-tool to generate the report file in CSV or JSON format directly.
complementary_products_suggestions
Recommender system for detecting complementary products based on products' textual attributes using Siamese Neural Networks. This code is part of the code for my Master Thesis Research.