Stars
Build AI WhatsApp Bots with Pure Python
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ChatGPT + DALL-E + WhatsApp = AI Assistant 🚀 🤖
🤖 A Telegram bot that integrates with OpenAI's official ChatGPT APIs to provide answers, written in Python
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Rainbow: Combining Improvements in Deep Reinforcement Learning
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
A comprehensive guide to 50 years of evolution of strict C programming, a tribute to Dennis Ritchie's language
A tool written in go to help you factor carbon intensity into decisions about where and when to run computing jobs.
A game theoretic approach to explain the output of any machine learning model.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
C++ program creates 3D and 2D fractals using OpenGL and SFML, rendered using multicore technology with OpenMP library.
tc3041-pf-primavera-2020-equipo01 created by GitHub Classroom
Final Project for Advanced Programming Course at ITESM - Fall '19
Space to perform my tests regarding my MSc research about energy and RL
Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
Grid2Op a testbed platform to model sequential decision making in power systems.
L2RPN Baselines a repository to host baselines for l2rpn competitions.
HELMpy, open source package of power flow solvers, including the Holomorphic Embedding Load Flow Method (HELM), developed on Python 3
This repository contains the code to compute voltages and their derivatives based on the Holomorphic Embedded Load Flow Method.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.