🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

A sample Telegram Python Bot (PTB) v20.x using Webhooks that runs on AWS Serverless

Task-Aware Agent-driven Prompt Optimization Framework

Model components of the Llama Stack APIs

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understand…

Package to add persistence to your telegram bot using pymongo

Code for the preprint "Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation"

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Everything about note management. All in Zotero.

Methods for studying dynamic functional brain activity in neuroimaging data.

LLM Chain for answering questions from documents with citations

State Space Models library in JAX

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

LLM training in simple, raw C/CUDA

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Code for the Medical Deadend Paper at NeurIPS 2021

A natural language interface for computers

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

A Python library that helps data scientists to infer causation rather than observing correlation.

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

STUMPY is a powerful and scalable Python library for modern time series analysis

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

A Python implementation of global optimization with gaussian processes.

Projections of COVID-19, in standardized format

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

Toolbox for segmentation and characterisation of transient connectivity

Bayesian learning and inference for state space models