sandeshkatakam Goto Github PK

followers: 19.0 following: 235.0 repos: 98.0 gists: 12.0

Name: Sandesh Katakam

Type: User

Bio: Deep Learning, Reinforcement Learning, Generative Models, Machine Learning Systems (MLSys)

Twitter: sandeshkatakam

Location: Hyderabad, INDIA

Blog: https://sandeshkatakam.github.io/

Hi, I'm Sandesh Katakam

Currently a BS-MS Mathematics Major(with a Minor in Computer Science) student at IISER Berhampur. I am broadly interested in Machine Learning Research

Find me on:

Some stuff about me:

Research Interests:

Reinforcement Learning and Sequential Decision Making
Neural Differential Equations
Unsupervised Learning and Self Supervised Learning
Foundation Models for Reinforcement Learning
Machine Learning Systems(MLSys) and Systems for Machine Learning(SysML)

I am looking to collaborate on Machine Learning Research Projects in the above research domains mentioned and Cool Open Source Projects in the Machine learning Space

Fun Fact: I am an avid enthusiast of Touch Typing on QWERTY (Consistently recording over 120+ WPM)

Stats on GitHub

My Tech Stack

Programming languages

Scientific Computing and Machine Learning libraries and Frameworks

Web Devlopment Tools

DevOps and MLOps Tools:

Other Tools:

Sandesh Katakam's Projects

3d-bayesu-net-model

Implementation of 3D Bayes U net model from the paper : "“Can Virtual Contrast enhancement in Brain MRI replace gadolinium? A Feasibility Study”.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-model-based-rl

A curated list of awesome model based RL resources (continually updated)

awesome-neovim

Collections of awesome neovim plugins.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-productivity

A curated list of delightful productivity resources.

awesome-rl

Reinforcement learning resources curated

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

bayesde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

bayesian-neuralode-for-brats

This repo hosts the code for the project : "Uncetainity quantification in Glioma Segmentation using Bayesian Neural ODEs"

bayesian-neuralodes-for-online-timeseries

Repo hosts the code for the New project : Bayesian Neural ODEs for Online learning of timeseries

benchmarking-gnns

Repository for benchmarking graph neural networks

biostatistics.jl

Implementation of Bio statistics tools in Julia for the course BIO 313

black-nvim

A Neovim plugin to format your code using Black

brats

PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

cfc

Closed-form Continuous-time Neural Networks

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

continual-learning-papers

Continual Learning papers list, curated by ContinualAI

continual_learning_papers

Relevant papers in Continual Learning

contrastive_learning_papers

A list of contrastive Learning papers

coursera-deep-learning-specialization

This repository is a collection of programming assignments I have done as a part of Coursera's Deep Learning Specialization offered by Deep learning.ai taught by Andrew Ng.

coursera-machine-learning-assignments

The Repository is a collection of Programming Assignments I have done in MATLAB for the Coursera Machine Learning course.

cs234_rl

🐲 Stanford CS234 : Reinforcement Learning

cuda_kernels

This repository contains CUDA Kernels for Basic Math Operations(MatrixMultiplication, Vector Addition etc.) to Deep learning based kernels(Convolutional, Recurrent Etc)

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-learning-project-template

Pytorch Lightning code guideline for conferences