DSPy: The framework for programming—not prompting—language models

The official Python SDK for Model Context Protocol servers and clients

A curated list of 120+ LLM libraries category wise.

Post-hoc Nemenyi test for algorithm statistical comparison.

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

Python Meta-Feature Extractor package.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

scikit-learn contrib estimators

Fast K-Medoids clustering in Python with FasterPAM

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Learning embeddings for classification, retrieval and ranking.

A toolkit for developing and comparing reinforcement learning algorithms.

Statistical Rethinking course winter 2022

Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

A curated list of references for MLOps

The most cited deep learning papers

Python code for "Probabilistic Machine learning" book by Kevin Murphy

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

fklearn: Functional Machine Learning

Python logging made (stupidly) simple

Feature Extraction Package for Biological Sequences

Minicurso Deep Learning: Introduction to Data Science