PranayPasula
Hello! For more info, please see my LinkedIn below. Most of my repos are not hosted on GitHub because they have highly-confidential work/data.
Pinned Repositories
COB
EE364a-Convex-Optimization-I
Notes for EE364a - Convex Optimization I @ Stanford (will update Ch 6 - Ch 13 later)
FaceForensics
baselines for work on deepfake detection. scripts are modified from the original FF repo to handle various models. scripts are not backwards compatible with the original FF repo.
FFwG
A frequency filtering (and noise generation) app with an easy-to-use GUI
ml-code
Code for machine learning tasks
mtrl-visual-interference
experiment to assess visual interference in multi-task reinforcement learning due to visual dissimilarities across source tasks. adapted from openai baselines
output_video
deepfake detection competition output video dir
pranaypasula.github.io
RL-Notes
Reinforcement learning notes and review material
vae-viewer
Portable implementation of variational autoencoders (and some variants, such as beta-VAE) in Keras. This tool can be used to quickly view learned latent representations of user-provided images.
PranayPasula's Repositories
PranayPasula/EE364a-Convex-Optimization-I
Notes for EE364a - Convex Optimization I @ Stanford (will update Ch 6 - Ch 13 later)
PranayPasula/FFwG
A frequency filtering (and noise generation) app with an easy-to-use GUI
PranayPasula/COB
PranayPasula/FaceForensics
baselines for work on deepfake detection. scripts are modified from the original FF repo to handle various models. scripts are not backwards compatible with the original FF repo.
PranayPasula/pranaypasula.github.io
PranayPasula/RL-Notes
Reinforcement learning notes and review material
PranayPasula/ml-code
Code for machine learning tasks
PranayPasula/mtrl-visual-interference
experiment to assess visual interference in multi-task reinforcement learning due to visual dissimilarities across source tasks. adapted from openai baselines
PranayPasula/output_video
deepfake detection competition output video dir
PranayPasula/vae-viewer
Portable implementation of variational autoencoders (and some variants, such as beta-VAE) in Keras. This tool can be used to quickly view learned latent representations of user-provided images.