Anh Nguyen (Aengus)

DriftingModel. PyTorch implementation of Drifting Models by Kaiming He et al.

noise-comparative-analysis. Expanding on the second contribution of "Perception Prioritized Training of Diffusion Models" (CVPR'22) with an implementation and extensions.

TensorFlow-Help-Protect-the-Great-Barrier-Reef. Small object detection: modify yolo.py to add decoupled head of YoloX to Yolov5 and custom TTA, dataset.py to heavily rotatedMosaic w/o artifact or tiny bounding boxes, augmentations.py too add Albumentations transforms.

MVF-ViT. Multi-View Fusion Vision Transformer

Consistency-GAN. Consistency Model (Song et al., ICML'23) + GAN + Destination-Aware Discriminator + Awareness Scheduler

I2I-anything. I2SB: Image-to-Image Schrödinger Bridge, Dual Diffusion Implicit Bridges for Image-to-Image Translation (ICLR 2023)

minorgrad. Forget Pytorch (in one day)! Building your deep learning framework.

delightfulDSA. 120+ solutions in Python for intermediate/advanced data structures & algorithms problems from Codeforce, HackerRank, HackerEarth, Spoj, Uva, Codechef.

Sartorius-Cell-Instance-Segmentation. Instance segmentation: two training stages with transfer learning, two inference stages with EfficientNetV2 and Mask R-CNN R101-FPN, ensemble masks with Weighted Boxes Fusion, heavily rotated Mosaic w/o artifact or tiny bounding boxes, Test time augmentation, five-fold cross-validation, Detectron2 with Albumentations, CIoU loss andGIoU loss.

Lightning-ConvNeXt. ConvNeXt in Pytorch Lightning⚡ (https://github.com/facebookresearch/ConvNeXt)

k-diffusion-explained. Provides math derivations, code comments, and instructional videos to help understand "Elucidating the Design Space of Diffusion-Based Generative Models" (Karras et al., 2022)

aengusng8. My personal repository

LightX2V-loras. Python