Anuj Shah's repositories

own_data_cnn_implementation_keras

A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-

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Transfer-Learning-in-keras---custom-data

Implementing Transfer Learning for custom data using VGG-16 and Resnet-50

Real_time_Object_detection_TF

This is an implementation of tensor flow object detection API for running it in Real time through Webcam

Tensorboard-own-image-data-image-features-embedding-visualization

Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer

convolution-layer-visualization-VGG-16

A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet

VQA-Demo-GUI

This repository gives a GUI using PyQt4 for VQA demo using Keras Deep Learning Library. The VQA model is created using Pre-trained VGG-16 Weight for image Features and glove vectors for question Features.

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custom_data_generator

This repository is about how you can create your custom data generator/data loader to train your neural network

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useful-scripts-for-handling-data

This repository contains some simple and useful scripts that can be helpful for handling data

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tf2_embedding_vis_tensorboard

Visualizing embeddings of custom data features using tensorboard in tensorflow 2

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pytorchvis

A library to visualize CNN in PyTorch.

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Bar-Chart-Race-with-Covid-19-Dataset

This repository shows how to create a Bar Chart Race using Covid-19 Dataset

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tips_n_tricks

tips and tricks to make our life easier

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uncertainty_estimation_tutorial

This repository attempts to understand the concepts of uncertainty estimation.

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awesome-mlops

A curated list of references for MLOps

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Deep_Learning_References

References for new strategies and network in the field of AI.

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fastai-v3

Starter app for fastai v3 model deployment on Render

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kaggle_wine_review

This repository contains script to predict wine prices based on kaggle wine_review dataset

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LearningObjectDetection

Learning object detection concepts

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numeric-notes

All the handwritten notes and source code files used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

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SimpleShapeDataset

A set of simple shape datasets for testing various ML applications

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stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

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