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adversarial-attack-and-defend

The code for the Computer Vision Lab2 -- Adversarial Attack and Defence

agile3d

[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation

cyclegan-from-scratch

This is an implementation of CycleGAN from scratch

geocode

GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

geoformer

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)

hust-risc-v-cpu

The Logisim circuits to pass the Computer Organization course design of HUST.

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

object-detection

This repository is inspired by @aladdinpersson's videos. After watching his videos of constructing Object Detection models such as YOLO, I was encouraged to start implementing from-scratch versions of the models myself.

octformer

OctFormer: Octree-based Transformers for 3D Point Clouds

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

photomosaic

A simple implementation to complete a Photographic Mosaic procedure.

pointtransformerv3

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

progan-from-scratch

This repository is a from-scratch version of Progressive GAN. It is inspired by @aladdinpersson's videos.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

sammed

This is the research project for the USC Viterbi CSCI-567 Machine Learning course.

scratch-data-evaluation

spam-filtering

Includes 650 Emails and 2 python programs to classify them

theme-academic-cv

transformer-from-scratch

This repository implements the Transformer model described in the paper "Attention is all you need" from scratch using the PyTorch deep learning framework.