henryhmko Goto Github PK

autoencoder_experimenting

mnist with autoencoders/ basic experimenting

bjc-r

The Beauty and Joy of Computing public resource repository.

bunny

A family of lightweight multimodal models.

caeser_shift_workshop

captcha_v4

Why are CAPTCHAs so hard? Today's CAPTCHA is easily breakable by bots while being rather difficult for humans. We present CAPTCHAv4: an algorithm which relies on latent space mappings and Stable Diffusion to generate a new paradigm of CAPTCHA images.

collab_1

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

coral_rnn

generates new coral species

cuda-mode

Learning CUDA. This repo includes all scratchwork from many resources.

dcgan_experiments

MNIST with DCGAN

deep_sea-nn

Enhancing underwater images using a truncated U-Net architecture for real-time color correction applications

diffusion_deepdive

exploration-based project for gaining a deeper understanding of diffusion models

evogym

A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.

gan_experimenting

vanilla gans. what are thoseee

henryhmko.github.io

personal website

nns_from_scratch

Only using numpy to create different NNs. This is more for me understanding how things work under the hood

personal_encryption_method_public

My own encryption method using prime numbers, dictionaries, and factoring.

pytorch-ssim

pytorch structural similarity (SSIM) loss

vlm_interpretability

Exploring how Vision-Language models interpret text in images