SauravMaheshkar/NeRF

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Created almost 2 years ago
Updated almost 2 years ago

SauravMaheshkar/NeRF

SauravMaheshkar

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Implementation of various NeRF methods in JAX

sslgym

Implementations of various Self Supervised Learning methods

Auto-Completion-using-N-Gram-Models

💬 An Auto-Complete program using N-Gram Models deployed to Heroku

python-template

🐍 General Purpose Repository Template for Python Projects

MLP-Mixer

Minimal Flax implementation of MLP-Mixer from "MLP-Mixer: An all-MLP Architecture for Vision" (https://arxiv.org/abs/2105.01601)

X-Ray-Image-Classification

🩺 Analysing Deep Learning Methods for X Ray Image Analysis

Jupyter Notebook

Fake-News-Classification

A Comparative Analysis of Different Approaches for Fake News Classification

Jupyter Notebook

Trax-Examples

Contains Example Notebooks for various machine learning tasks using the Trax library

Jupyter Notebook

Flutter-Image-Recognition

A Cat vs Dog Classifier App built using tensorflow-lite and Flutter

SSL-Graphs

Implementations of various Self Supervised Learning Methods for Graphs

GraphMLP-Flax

Minimal Flax Implementation of "Graph-MLP: Node Classification without Message Passing in Graph"(https://arxiv.org/abs/2106.04051)

Art-Integration

🎨 My Art Integration Project for Grade 12 (Physics and Computer Science)

Jupyter Notebook

gMLP

Flax implementation of gMLP from "Pay Attention to MLPs" (https://arxiv.org/abs/2105.08050)

jangal-rs

Implementation of Tree Data Structures in Rust

cookiecutter-flax-cv-starter

Cookiecutter 🥠 template for a creating a Python 🐍 package in Flax for implementing papers in the vision 👁 domain

playground

Algorithms, Data Structures, Leetcode, Niche Languages

sat-rs

A SAT solver written in Rust

hivegraph

🐍🧑🏼‍💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.

Normalization-Analysis

An In-depth study of the various popular Normalization methods used in deep-learning showcased as a series of Weights & Biases Reports 📝

Jupyter Notebook

papersai

Reason about papers using LLMs

Radiology-Classification

Benchmarking various deep learning models in Tensorflow, PyTorch and JAX for radiology classification

Graph-Property-Prediction

Benchmarking various Graph Neural Networks for Graph Property Prediction

container-from-scratch

Follow along code from Liz Rice's talk "Building a container from scratch in Go"

Poem-Generator

📚 An RNN based Poem generator trained on Project Gutenberg's data from Shakespeare's sonnets ✒️

Link-Property-Prediction

Tensorflow, PyTorch and JAX Implementations of various Deep Learning models for Link Property Prediction

SauravMaheshkar

😎👨🏼‍💻☕️ My Github Portfolio

verilog-template

❄️ Template for Verilog Projects using iverilog and gtkwave (nix devShell supported)

dotfiles.nix

Cross-Matching-Methods-for-Astronomical-Catalogs

🌌🔭Cross-identification of astronomy sources across observations, instruments and telescopes.

Image-Classification-using-Augmentation

A Cats vs Dogs Image Classification Model using tensorflow's inbuilt Image Augmentation Functions

Jupyter Notebook

HyperGraphLearning

Comprehensive Study of Hyper Graph Representation Learning