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
Hcpy - Interface with Home Connect appliances in Python

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This is an official implementation for "Self-Supervised Learning with Swin Transformers".

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Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

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Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

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This is the repo for our work "Towards Persona-Based Empathetic Conversational Models" (EMNLP 2020)

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Tensorflow implementation of MIRNet for Low-light image enhancement

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This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

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PyTorch implementation of popular datasets and models in remote sensing

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Benchmarks for semi-supervised domain generalization.

Semi-Supervised Domain Generalization This code is the official implementation of the following paper: Semi-Supervised Domain Generalization with Stoc

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Code for technical report "An Improved Baseline for Sentence-level Relation Extraction".

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Recursive Bayesian Networks

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Tool which allow you to detect and translate text.

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Interactive web apps created using geemap and streamlit

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Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

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