Tosin Oseni's repositories

visual-slam-python

This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.

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Safe-panda-gym

OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.

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Nightmare-Dreamer

Constrained Model-Based RL Via Latent Nighmtares (Nightmare - Dreamer with constraints)

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Localisation_and_Slam_algorithms_implimentation

my implimentation of several slam and localisation algorithms

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Safe-NeuroEvolution

A Pytorch implementation of NeuroEvolution.

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TurboGrad

Called turbo not because its fast but because its a mini torch, sorta

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Larez

A hand held device software to use finger print for payment services

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alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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AutoROM

A tool to automate installing Atari ROMs for the Arcade Learning Environment

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Awesome-Monocular-3D-detection

Awesome Monocular 3D detection

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awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

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DeepRLInTheWorld

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

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DoomBa

Roomba but refrences the makers need to be dramatic hence DoomBa

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dreamgaussian

Generative Gaussian Splatting for Efficient 3D Content Creation

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ESB-CPO-Experiments

Implement of paper: Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization

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Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

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NR-SLAM

NR-SLAM: Non-Rigid Monocular SLAM

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raspberry-pi-os

Learning operating system development using Linux kernel and Raspberry Pi

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reactivetoy

Playing with React for Front end dev

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tdmpc2-eval

Evaluation of TD-MPC2.

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Vehicle_tracker

Software to track ice cream truck, temperature, humidity , location and send via rest APi

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viper_rl

Using advances in generative modeling to learn reward functions from unlabeled videos.

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