srkiboy75

llm-course

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

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

taipy

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

ml-engineering

Machine Learning Engineering Open Book

ta-lib-python

Python wrapper for TA-Lib (http://ta-lib.org/).

jupyter-ai

A generative AI extension for JupyterLab

vizro

Vizro is a toolkit for creating modular data visualization applications.

Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

anonymous_github

Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

skfolio

Python library for portfolio optimization built on top of scikit-learn

Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

SharedSolutions

Publicly shared solutions to Coding Challenges

LeanCopilot

LLMs as Copilots for Theorem Proving in Lean

what_are_embeddings

A deep dive into embeddings starting from fundamentals

CausalPy

A Python package for causal inference in quasi-experimental settings

causal-ml

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

MathematicalEngineeringDeepLearning

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

Renate

Library for automatic retraining and continual learning

skpro

A unified framework for tabular probabilistic regression and probability distributions in python

conformal-predictions-from-scratch

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

ding_causalInference_python

python implementation of Peng Ding's "First Course in Causal Inference"

website

Website sources for Applied Machine Learning for Tabular Data

xgboost-distribution

Probabilistic prediction with XGBoost.

serbian-llm-eval

Serbian LLM Eval.

OECD-Weekly-Tracker

Weekly Tracker of economic activity

UPM_summer_school_GP_BO_course

Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.

MLvsGARCH

DeepGenerativeSymbolicRegression

Deep Generative Symbolic Regression Code

FEWNet

HF_SVAR_Identification

Replication codes for the paper: SVAR Identification with High-Frequency Macroeconomic Data