Sandesh Katakam's Projects
Resources for Data Centric AI
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Pytorch Lightning code guideline for conferences
A library for scientific machine learning and physics-informed learning
This repository contains the code for the project : Denoising STM Images using Machine learning.
Differential equation problem specifications and scientific machine learning for common financial models
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
This Repository is dedicated to Research Project: "Neural ODE Based world models using Dreamer Algorithm"
This repository contains code and other files related to the project "Fine-Tuning LLaMA Model" done at IIT Ropar as a part of the Indian Academy of Sciences SRFP Fellowship
Relax! Flux is the ML library that doesn't make you tensor
A toolkit for reproducible reinforcement learning research.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Wish your friend/loved-ones happy birthday in a nerdy way.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A Library for Generative Models in JAX deep learning framework
A Jekyll theme based off of mdbook
This repository contains my work that I have done as a part of the course "Data Analysis in Python: Zero to Pandas" offered by jovian. The Repo also contains a course project on the data analysis of stock quotes of axis bank.
Code implementations of Machine learning algorithms in Jullia
This repository contains materials for the Julia workshop to be organized by Programming club IISER Berhampur
This repository hosts the code for the kaggle challenge: "Understanding Clouds from Satellite Images"
A launch point for your personal nvim configuration
Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.
This Repository is dedicated to the Research Project: "Liquid Neural Networks for constructing World Models for Model Based Reinforcement Learning"
My Machine Learning Blog
PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
Implementation of standard ML Algorithms from scratch using Numpy
This is my Julia Machine learning package!!