This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

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

A toolkit for developing and comparing reinforcement learning algorithms.

Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.

The companion code for KDD'23 FairCod

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Deep Reinforcement Learning based Trading Agent for Bitcoin

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

Reinforcement learning resources curated

FinRL: Financial Reinforcement Learning. 🔥

Your interactive network visualizing dashboard

A curated list of data science educational resources for essential data science skills

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

Solutions of Reinforcement Learning, An Introduction

Python Implementation of Reinforcement Learning: An Introduction

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Python sample codes for robotics algorithms.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

All Algorithms implemented in Python

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Compilation of high-profile real-world examples of failed machine learning projects

A complete computer science study plan to become a software engineer.

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

Uma classe LaTeX para dissertações, teses e propostas do Programa de Pós-Graduação em Ciência da Computação (PPGCC) da Universidade Federal de Minas Gerais (UFMG).

Python implementations of some algorithms from the CLRS textbook

🎓 Um caminho para a educação autodidata em Ciência da Computação!