Starred repositories
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Repository for SEPAL: Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Repository for TARTE: Transformer Augmented Representation of Table Entries
Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
A cross platform Bluetooth Low Energy Client for Python using asyncio
Every commit is important. So let's celebrate each and every commit with a corresponding emoji! 😄
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Machine Learning inference engine for Microcontrollers and Embedded devices
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
Ultimate transformation library that supports validation, contexts and aiohttp.
Developer-first error tracking and performance monitoring
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.
🚂 Python API for Emma's Markov Model Algorithms 🚂
An ultra-simplified explanation to design patterns
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Apache Spark - A unified analytics engine for large-scale data processing
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.