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agentverse

🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).

appom

audio-detection-

In this repository, a speech recognition algorithm was developed using RNN with an additional layer of dynamic range compressor to eliminate noise.

automated-testing

automation-practice

catalyst-rl

catalyst-rl-tutorial

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

data-structures-and-algorithms

This repository demonstrates the implementation of various data structures and algorithms practice problem

drone-control-with-pid-and-genetic-algorithm

epom

gazebo-pkgs

A collection of tools and plugins for Gazebo

global-optimization

Solving global optimization problems using MATLAB global optimization toolbox

handcalcs

Python library for converting Python calculations into rendered latex.

hybrid-and-impedance-control-of-a-ppr-manipulator

Hybrid and Impedance control of a PPR manipulator using matlab, simscape multibody and simulink

ivy

The Unified Machine Learning Framework

klins

Personal Portfolio

klins101.github.io

Personal Portfolio

kornia

Open Source Differentiable Computer Vision Library

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.

matlab-live-task-for-python

The MATLAB® Live Task for Python® enables you to write and execute Python code directly inside of a MATLAB Live Script.

multi-drone-simulation-using-ppo

Training of a multi-drone system to interact with itself using reinforcement learning

peg-in-a-hole-insertion-using-drl

Simulation and training a UR5 robot to accurately insert a pin into a hole using the CoppeliaSim simulator and catalyst-rl reinforcement library

pick-and-place-robot-with-kuka-arm-and-moveit

playwright-test

pybullet-robot-base

pythonrobotics

Python sample codes for robotics algorithms.

rcareworld

RCareWorld simulation environment for caregiving robots

remedy

ros2-projects

Ros 2 projects for learning

rwkv-lm

RWKV v2 is a RNN with transformer-level performance. It can be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.