anipal Goto Github PK

active-ai.github.io

Build a Jekyll blog in minutes, without touching the command line.

alexa-skill-privacy-policy

alexa-skill-terms-and-conditions

anipal.github.io

artwork-classification-using-ml

Machine Learning Project for Course CS7641

buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.

centernet_tensorflow_wilderface_voc

This is the unofficial implementation of the "CenterNet:Objects as Points".Just a simple try with self-modified shufflenetv2 and yolov3.If you want better results, you need more experiments.

chat_and_file-transfer-application

cnn-using-swish

CNN trained on MNIST using swish

cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

codegen

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

combining-efficientnet-and-vision-transformers-for-video-deepfake-detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" available on Arxiv and was submitted to ICIAP 2021.

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

deepfake-detection

The Pytorch implemention of Deepfake Detection based on Faceforensics++

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

defense

Meant to be research on adversarial defense but turned out to be implementation of Targeted Dropout in PyTorch

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fake-news-detector

faldetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

final

fuse_seg_pytorch

Pytorch Implementation of Paper: Enhancing Feature Fusion for Semantic Segmentation (face++)

getting-and-cleaning-week-4

hackabout-2017-round-1

hotel-management-software-c-

location-aware-upsampling-for-semantic-segmentation

The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)

myapp

nlp-cs7650-project

obstacle

owl_classification_interface