Stars
Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude …
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
Monitor the stability of a Pandas or Spark dataframe ⚙︎
A unified framework for Deep Learning Models on tabular data
A collection of important graph embedding, classification and representation learning papers with implementations.
Lime: Explaining the predictions of any machine learning classifier
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
A game theoretic approach to explain the output of any machine learning model.
Example deep learning projects that use wandb's features.
A Python package to assess and improve fairness of machine learning models.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
Code and files to go along with CS329s machine learning model deployment tutorial.
A curated list of Site Reliability and Production Engineering resources.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Natural Language Processing Tutorial for Deep Learning Researchers
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
An ongoing list of pandas quirks
PyTorch original implementation of Cross-lingual Language Model Pretraining.