A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.

OpenAI Gym wrapper for the DeepMind Control Suite

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

📖 Paper: Human-level control through deep reinforcement learning 🕹️

I've created Gemini-PHP, a PHP application tailored to seamlessly integrate with the Gemini API. With this tool, users can effortlessly generate content based on their prompts.

StarCraft II Learning Environment

Implementing DeepMind's Fast Reinforcement Learning paper, and adding additional features to generalize the algorithms

Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

A curated list of FREE courses available online from top universities of the world on CS-DS-ML!

Gymnasium integration for the DeepMind Control (DMC) suite

Farama Gymnasium API Wrapper for the DeepMind Control Suite and DeepMind Robot Manipulation Tasks

Open source code for AlphaFold.

lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue

Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open sourced in May 2022. Feel free to contribute. Show your support by ✨this repository.

Gemini Chat is an AI chatbot website created by Aditya Yadav which uses Google's Gemini. It is designed to be informative, engaging, and helpful. Gemini can answer questions on a wide range of topics, including general knowledge, current events, and entertainment. It can also provide weather updates, sports scores, and other useful information.

I’ll be testing different Gemma models and sharing the results here and on my Hugging Face space. Stay tuned for updates!

This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/

MLP-Mixer: An all-MLP Architecture for Vision