GANs for Fun
Created because I can!
GOAL
The goal of this repo is to be freely used by ML devs to check the GAN performances without coding from scratch. Additionally this also shares my experience in NN training on modular codebases.
This repo is to be freely used by ML devs to check the GAN performances without coding from scratch.
Overview
Do
Owner
Sagnik Roy
Data Associate Intern @ ExpandAI •
Video Games & Machine Vision attracts me!
The pytorch implementation of DG-Font: Deformable Generative Networks for Unsupervised Font Generation
DG-Font: Deformable Generative Networks for Unsupervised Font Generation The source code for 'DG-Font: Deformable Generative Networks for Unsupervised
130 Dec 05, 2022
This repository contains the code for our paper VDA (public in EMNLP2021 main conference)
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Compositional and Parameter-Efficient Representations for Large Knowledge Graphs
NodePiece - Compositional and Parameter-Efficient Representations for Large Knowledge Graphs NodePiece is a "tokenizer" for reducing entity vocabulary
107 Jan 04, 2023
Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21
Map Metrics for Trajectory Quality Map metrics toolkit provides a set of metrics to quantitatively evaluate trajectory quality via estimating consiste
31 Oct 28, 2022
68 keypoint annotations for COFW test data
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Change Detection in SAR Images Based on Multiscale Capsule Network
SAR_CD_MS_CapsNet Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" , IEEE Geoscience and Remote Sensing Letters
21 Nov 29, 2022
This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.
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This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
An-Introduction-to-Statistical-Learning This repository contains the exercises and its solution contained in the book An Introduction to Statistical L
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A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis This is the pytorch implementation for our MICCAI 2021 paper. A Mul
7 Apr 04, 2022
Topic Modelling for Humans
gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ
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UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
UNION Automatic Evaluation Metric described in the paper UNION: An UNreferenced MetrIc for Evaluating Open-eNded Story Generation (EMNLP 2020). Please
50 Dec 30, 2022
A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset
YOLOv4 CrowdHuman Tutorial This is a tutorial demonstrating how to train a YOLOv4 people detector using Darknet and the CrowdHuman dataset. Table of c
118 Nov 10, 2022
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin, Wen Song, Zhiguang
33 Dec 27, 2022
Convolutional Neural Network for 3D meshes in PyTorch
MeshCNN in PyTorch SIGGRAPH 2019 [Paper] [Project Page] MeshCNN is a general-purpose deep neural network for 3D triangular meshes, which can be used f
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RaceBERT -- A transformer based model to predict race and ethnicty from names
RaceBERT -- A transformer based model to predict race and ethnicty from names Installation pip install racebert Using a virtual environment is highly
3 Nov 02, 2022
Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL
A method to solve the Higgs boson challenge using Least Squares - Novae This project is the Project 1 of EPFL CS-433 Machine Learning. The project is
1 Nov 09, 2021
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame
1.4k Jan 07, 2023
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone In our recent paper we propose the YourTTS model. YourTTS bri
390 Dec 29, 2022
This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Intro This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales Vehicle Sam
39 Jul 21, 2022
Simulation code and tutorial for BBHnet training data
Simulation Dataset for BBHnet NOTE: OLD README, UPDATE IN PROGRESS We generate simulation dataset to train BBHnet, our deep learning framework for det
0 May 31, 2022