Discover @innat Open Source projects

Mohammed Innat (@innat)

innat

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366
Global Rank 73,187 (Top 3 %)
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Registered about 8 years ago
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Jupyter Notebook
59.1 %

Python
31.8 %

HTML
9.1 %
Location 🇧🇩 Bangladesh
Country Total Rank 149
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Jupyter Notebook
16

HTML
33

Python
69

ML-Resource

A concise resource repository for machine learning

DIP-In-Python

Play around with Pixel in Python

HybridModel-GradCAM

A Keras implementation of hybrid efficientnet swin transformer model.

Jupyter Notebook

DOLG-TensorFlow

Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2

Jupyter Notebook

Py4-DS

🐍 Data Science Boot-Camp : UC San DiegoX

Jupyter Notebook

VideoSwin

Keras Implementation of Video Swin Transformers for 3D Video Modeling

Jupyter Notebook

Raspberry-Pi-WebSocket

Control Raspberry Pi GPIOs with WebSockets

VideoMAE

[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Jupyter Notebook

kaggle

🌱 Playing in Kaggle Playground

Jupyter Notebook

Transfer-Learning-PySpark

Multi-Class Classification | Transfer Learning With PySpark

Jupyter Notebook

NumPy-Note

Quick NumPy Note!

Jupyter Notebook

EANet-Keras

Unofficial Implementation of External Attention in TF 2

LamdaDenseNet-121

Integrating the Lamda Layer into DenseNet 121.

Multi-Attention

Implementation of Multi-Attention, consist of CBAM and DeepMoji

TensorFlow-2-Practice

Jupyter Notebook

Data-Scraping

Information Scraping with Python

BraTS-MGMT-Classification

UniFormerV2

[ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Jupyter Notebook

IMDB-Analysis

⛄ Insight Movie-Rating-Data-Set

Jupyter Notebook

mae-spatiotemporal

Unofficial keras implementation of masked autoencoders as spatiotemporal learners

LResizerViT

A general tf.keras implementation of Learnable Resizer + Vision Transformer.

Jupyter Notebook

Video-FocalNets

Keras Implementation of Video-FocalNets

Jupyter Notebook

GWD-MaskRCNN

Global Wheat Detection in Mask-RCNN