palaashagrawal Goto Github PK

acads-bitspilani

Term Project based on the paper "Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction" by Maosin Li et al (2020, CVPR). A basic innovation added

agricultural-boundary-segmentation

blogs

brain-mri-segmentation

A UNet Segmentation model to detect FLAIR abnormality in the brain

brainscore_eval

contour-descent-optimizer

A novel optimization method to accelerate the Gradient Descent Algorithm by manifold

course-v3

The 3rd edition of course.fast.ai

fastai

The fastai deep learning library

fastai-v3

Starter app for fastai v3 model deployment on Render

fastai2

Temporary home for fastai v2 while it's being developed

fastaipt2

learnings and implementations from fastai 2022 course pt2. Its not necessarily described, but for my personal learnings.

fastbook

Draft of the fastai book

group-activity-recognition

imagenet_experiments

Experiments on blurred image transforms on the image recognition task over Imagenet

improved-spotify-recommendation-system

metrabs

Estimate absolute 3D human poses from RGB images.

mppt-using-ai-techniques

nsd_exploration

Exploration of the Natural Scenes Dataset

palaashagrawal.github.io

Palaash Agrawal's personal website

practical-machine-learning-sessions

practicals

Practical Machine Learning, hosted at palaashagrawal.github.io/practicals

prepositions1.0

Baseline model experiments for prepositions paper submitted to CVPR

stupd

Code for the STUPD paper

v1-fake-speech-detection-using-frequncy-analysis

A CNN that can differentiate between Donald Trump's real voice and voices of Impressionists using frequency analysis of hand-curated audio snippets

v2-fake-speech-detection-using-fequency-analysis

A CNN that classifies whether an audio segment is spoken by Donald Trump himself, or Impersonated.

which-celebrity-do-you-look-like

My personal rendition of the facial recognition problem using Siamese Network. Inspired by the Gradient App