Implementation of Gans

Related tags

Deep LearningGAN
Overview

GAN

Generative Adverserial Networks are an approach to generative data modelling using Deep learning methods.

I have currently implemented :

  • DCGAN on CIFAR dataset.
Owner
Sibam Parida
3rd year Undergraduate at VNIT,Nagpur
Sibam Parida
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

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Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.

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Writeups for the challenges from DownUnderCTF 2021

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Starter code for the ICCV 2021 paper, 'Detecting Invisible People'

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PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"

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Fast and robust certifiable relative pose estimation

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SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

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Unified MultiWOZ evaluation scripts for the context-to-response task.

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An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

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A concise but complete implementation of CLIP with various experimental improvements from recent papers

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Joint Detection and Identification Feature Learning for Person Search

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Easily pull telemetry data and create beautiful visualizations for analysis.

This repository is a work in progress. Anything and everything is subject to change. Porpo Table of Contents Porpo Table of Contents General Informati

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Vision-Language Pre-training for Image Captioning and Question Answering

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Revisting Open World Object Detection

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Code in conjunction with the publication 'Contrastive Representation Learning for Hand Shape Estimation'

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Numerai tournament example scripts using NN and optuna

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Development kit for MIT Scene Parsing Benchmark

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Semi-supevised Semantic Segmentation with High- and Low-level Consistency

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😊 Python module for face feature changing

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The source codes for ACL 2021 paper 'BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data'

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