DavidAlexanderMoe

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

llm-course

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

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

CausalImpact

An R package for causal inference in time series

Treasure-of-Transformers

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

tsfel

An intuitive library to extract features from time series.

Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Deep-Learning-for-Causal-Inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

TorchCP

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

conformal-predictions-from-scratch

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

Awesome_CatBoost

The repository to showcase the best framework for tabular data - the Awesome CatBoost

causality

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

Practical-Guide-to-Applied-Conformal-Prediction

Practical Guide to Applied Conformal Prediction, published by Packt

conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

ConformalImpact

Causal Impact but with MFLES and conformal prediction intervals

causal

notebooks on methods for causal inference

confopt

A Library for Conformal Hyperparameter Tuning

causal_ai

This project introduces Causal AI and how it can drive business value.

Conformal-Learning

Benchmarking-conformal-prediction-methods-for-time-series-regression

Code repository accompanying my bachelor thesis "Benchmarking conformal prediction methods for time series regression"

dl-confident-loss-function