Prakyath Kantharaju (Prakyathkantharaju)

Prakyathkantharaju

Geek Repo

Company:university of Illinois at chicago

Location:Chicago

Home Page:prakyathk.com

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Organizations
UICRRL

Prakyath Kantharaju's repositories

HIL_toolkit

Toolkit for human in the loop optimization

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Resume-assistant

Rating resume, edit suggestion and cover letter generator

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App-Polar-streaming

Using asyncio, data

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Fine_tune_Anything

Fine tuning code generation for any repository using a small and lightweight models

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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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dotfiles

dotfiles

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Hacking-robotics

Series of robotics tutorials for manipulators, locomotion robots, RL and Imitation learning.

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integration

integration for acc and gyrodata

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kickstart.nvim

A launch point for your personal nvim configuration

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lang-segment-anything

SAM with text prompt

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Lead-the-way

Using drone for navigation of legged and wheeled robotos.

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lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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manipulation

Course notes for MIT manipulation class

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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personal_blog

Personal blog and website for learning.

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quadcopter

Quadcopter control using RL and low level controller

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Quadruped

Repository for the Stanford pupper documentation and train learner.

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rl_benchmark

Bench marking and comparing torch rl and stable-baslines

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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test_walking_with_palm

quad controler with palm, both RL controller and IK controlller

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tinylora

finetuning using lora and tinygrad. PEFT but better.

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torchrl_mcts

This is a proof of concept on how MCTS can be implemented on top of TorchRL

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torchtune

A Native-PyTorch Library for LLM Fine-tuning

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uitvbo

This repository contains the code for the paper "On Controller-Tuning with Time-Varying Optimization" (Accepted at the 61st IEEE Conference for Decision and Control).

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