Stars
AI 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…
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
State of the Art Natural Language Processing
Approaching (Almost) Any Machine Learning Problem
Real-Time High-Resolution Background Matting
Boilerplate for bootstrapping scalable multi-page Dash applications
Self-Supervision for Named Entity Disambiguation at the Tail
🚴 Call stack profiler for Python. Shows you why your code is slow!
A library implementing different string similarity and distance measures using Python.
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
Python dictionaries with advanced dot notation access
An NLP workshop about concrete solutions to real problems
A CS degree with a focus on full-stack ML engineering, 2020
Data Apps & Dashboards for Python. No JavaScript Required.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A toolkit for developing and comparing reinforcement learning algorithms.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Deep neural network to extract intelligent information from invoice documents.
Magnificent app which corrects your previous console command.
Code for the paper "Language Models are Unsupervised Multitask Learners"
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Open-source demos hosted on Dash Gallery
2nd Place Solution 💰🥈
Interactive visualization of networks based on Ulf Aslak's d3 web app.