Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Last update: Dec 30, 2022

Overview

Soomvaar

📌 Introduction

Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on collab notebook with kaggle datasets

💥 Notebooks and Datasets

Name	Dataset	Notebook
Cats and Dogs Prediction	Kaggle Dataset	Notebook
Amazon Alexa Review Analysis	Kaggle Dataset	Notebook
Color Detection	Kaggle Dataset	Notebook
Blur Face Detection	Dataset	Notebook

Open Source Programs

Owner

Felix-Ayush

@Github Campus Expert 🚩 | Open-Source @keploy @open-horizon @open-horizon-services | Building @MetaVASP @Elixir-ABESEC

GitHub Repository

Multi-Modal Machine Learning toolkit based on PyTorch.

简体中文 | English TorchMM 简介多模态学习工具包 TorchMM 旨在于提供模态联合学习和跨模态学习算法模型库，为处理图片文本等多模态数据提供高效的解决方案，助力多模态学习应用落地。近期更新 2022.1.5 发布 TorchMM 初始版本 v1.0 特性丰富的任务场景：工具

1 Jan 05, 2022

Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

Object DGCNN & DETR3D This repo contains the implementations of Object DGCNN (https://arxiv.org/abs/2110.06923) and DETR3D (https://arxiv.org/abs/2110

539 Jan 07, 2023

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

ICNet for Real-Time Semantic Segmentation on High-Resolution Images by Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia, details a

594 Dec 31, 2022

RefineMask (CVPR 2021)

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021) This repo is the official implementation of RefineMask:

191 Jan 07, 2023

Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver IO Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs Usage import torch from src.perceiver.

111 Nov 15, 2022

This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".

Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement This is the repository for the paper "Improving the Accuracy-Memory Trad

3 Dec 29, 2022

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

Deformable Attention Implementation of Deformable Attention from this paper in Pytorch, which appears to be an improvement to what was proposed in DET

128 Dec 24, 2022

[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"

Qu-ANTI-zation This repository contains the code for reproducing the results of our paper: Qu-ANTI-zation: Exploiting Quantization Artifacts for Achie

8 Mar 26, 2022

KinectFusion implemented in Python with PyTorch

KinectFusion implemented in Python with PyTorch This is a lightweight Python implementation of KinectFusion. All the core functions (TSDF volume, fram

80 Jan 03, 2023

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue

1 Feb 07, 2022

Fewshot-face-translation-GAN - Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Few-shot face translation A GAN based approach for one model to swap them all. The table below shows our priliminary face-swapping results requiring o

768 Dec 24, 2022

Autotype on websites that have copy-paste disabled like Moodle, HackerEarth contest etc.

Autotype A quick and small python script that helps you autotype on websites that have copy paste disabled like Moodle, HackerEarth contests etc as it

32 Nov 03, 2022

Invasive Plant Species Identification

Invasive_Plant_Species_Identification Used LiDAR Odometry and Mapping (LOAM) to create a 3D point cloud map which can be used to identify invasive pla

2 May 12, 2022

IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales

IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales. In this case, we ended up using XGBoost because it was the o

1 Jan 04, 2022