bforbesc

public-apis

A collective list of free APIs

computer-science

🎓 Path to a free self-taught education in Computer Science!

langchain

🦜🔗 Build context-aware reasoning applications

openai-cookbook

Examples and guides for using the OpenAI API

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

bitcoinbook

Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

sktime

A unified framework for machine learning with time series

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

promptsource

Toolkit for creating, sharing and using natural language prompts.

nn-from-scratch

Implementing a Neural Network from Scratch

FLAN

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

grf

Generalized Random Forests

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

pymatch

midi-dataset

Code for creating a dataset of MIDI ground truth

MetaMIDIDataset

propensity-score-matching

Tutoriais-de-AM

Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades

ts2sls

Two-sample two-stage least squares estimation

grail_web_crawler

grail_api

GRAIL API