chbiscaro

tgtg

Scanner for Too Good To Go Notifications

ConformalImpact

Causal Impact but with MFLES and conformal prediction intervals

LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

tfp-causalimpact

causalimpact

Python port of CausalImpact R library

khiops

Khiops is an AutoML suite for supervised and unsupervised learning

optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

sliceline

✂️ Fast slice finding for Machine Learning model debugging.

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

interactive-weak-supervision

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling

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.

psmpy

propensity score matching in python

nbdime

Tools for diffing and merging of Jupyter notebooks.

bert_for_longer_texts

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

llm-paper-notes

Notes from the Latent Space paper club. Follow along or start your own!

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

papermage

library supporting NLP and CV research on scientific papers

llamafile

Distribute and run LLMs with a single file.

giskard

🐢 Open-Source Evaluation & Testing for ML models & LLMs

rtdl-num-embeddings

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

propensity-score-matching

causal_inference_python_code

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

CFXplorer

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

nbdev

Create delightful software with Jupyter Notebooks

nanoGPT

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

causaltune

AutoML for causal inference.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

taipy

Turns Data and AI algorithms into production-ready web applications in no time.