Ansh Mittal (AnshMittal1811)

AnshMittal1811

Geek Repo

Company:University of Southern California

Location:Los Angeles, CA, USA

Home Page:https://anshm18111996.wixsite.com/website

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Ansh Mittal's repositories

BrainTumorClassification

This is the code and figures for the paper "AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction".

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adversarial-learning-robustness

Contains materials for workshops pertaining to adversarial robustness in deep learning.

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amazon-classify

Replication of Jason Brownlee's Keras CNN for multi-label Amazon rainforest classification

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circuit-gnn

[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/

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CosmiQ_SN7_Baseline

The SpaceNet 7 Baseline Algorithm

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coursera-natural-language-processing-specialization

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

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enhancing_the_makg

Code for the Master Thesis "Enhancing the Microsoft Academic Knowledge Graph"

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github-add-youtube-video

A Greasemonkey script to better integrate Youtube videos in Github markdown (pull requests, issues, comments, ...).

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image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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keras-retinanet

Keras implementation of RetinaNet object detection.

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Natural-Language-Processing-Specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

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P-GNN

Position-aware Graph Neural Networks

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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RecDerain

Single Image Deraining Using Bilateral Recurrent Network (TIP 2020)

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roof-classify

A pipeline for deep learning on satellite imagery

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solaris

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

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the-gan-zoo

A list of all named GANs!

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unet

unet for image segmentation

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UNet-1

PyTorch implementation of Original UNet Paper

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