All the code and files related to the MI-Lab of UE19CS305 course in sem 5

Overview

Machine-Intelligence-Lab-CS305

The compilation of all the code an drelated files from MI-Lab UE19CS305 (of batch 2019-2023) offered by PES University

Instructions to run the code

  1. Enter the folder of the required week

  2. run the following command in the terminal:

    python3 SampleTest.py --SRN PES0UG00CS000

    where PES0UG00CS000 is the current file name in the repo for all the week code, change it accordingly

Note

  • Although most of the code is written independently, some weeks code are taken from others, feel free to let me know for credits if due.

  • Some of the code is written with the help of the internet and co-pilot, so the accuracy can't be guaranteed for all edge cases.

Owner
Arvind Krishna
Git, Set, Go
Arvind Krishna
Orange Chicken: Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation

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ROS Basics and TurtleSim

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The (Official) PyTorch Implementation of the paper "Deep Extraction of Manga Structural Lines"

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Edge-aware Guidance Fusion Network for RGB-Thermal Scene Parsing

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Deploy pytorch classification model using Flask and Streamlit

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Pretraining Representations For Data-Efficient Reinforcement Learning

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The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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Pyramid Scene Parsing Network, CVPR2017.

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Deep-learning X-Ray Micro-CT image enhancement, pore-network modelling and continuum modelling

EDSR modelling A Github repository for deep-learning image enhancement, pore-network and continuum modelling from X-Ray Micro-CT images. The repositor

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IPATool-py: download ipa easily

IPATool-py Python version of IPATool! Installation pip3 install -r requirements.txt Usage Quickstart: download app with specific bundleId into DIR: p

159 Dec 30, 2022
Dense matching library based on PyTorch

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Prune Truong 399 Dec 28, 2022
Non-Imaging Transient Reconstruction And TEmporal Search (NITRATES)

Non-Imaging Transient Reconstruction And TEmporal Search (NITRATES) This repo contains the full NITRATES pipeline for maximum likelihood-driven discov

13 Nov 08, 2022
Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis

HAABSAStar Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis". This project builds on the code from https://gith

1 Sep 14, 2020
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data

JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala

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RoMa: A lightweight library to deal with 3D rotations in PyTorch.

RoMa: A lightweight library to deal with 3D rotations in PyTorch. RoMa (which stands for Rotation Manipulation) provides differentiable mappings betwe

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Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting (ICCV, 2021)

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