ashukid/Machine-Learning-From-Scratch

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Created over 5 years ago
Updated over 5 years ago

ashukid/Machine-Learning-From-Scratch

ashukid

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Coding basic machine learning algorithms from scratch using numpy

hed-edge-detector

Using pretrained hed edge detector model from caffe with opencv

anomaly-detection-in-ecg-signal

Official implementation of "Regularised Encoder-Decoder Architecture for Anomaly Detection in ECG Time Signals"

Jupyter Notebook

Conditional-GAN-pytorch

Implementation of Conditional DCGAN for Dog Dataset

Jupyter Notebook

few-shot-learning

Curated List of Few shot and One shot Learning Papers and resources

low-shot-learning

Codes for low-shot-shrink-hallucinate paper imported from official repository and with added helper functions

Deploy-keras-model-on-Heroku

Configuration files for deploying a keras model on Heroku

algo-trading

Python script for cryptocurrency trading using crytopia API

tensorflow-codeground

automatic code generation through static graphs

pygames

fun games written in python language

minian

minian is a lang chain app to minimize human effort

Jupyter Notebook

bounding-box-regression

Bounding box regression code in pytorch

Jupyter Notebook

Neural_Networks_using_Numpy

Coding basic neural networks using Numpy only

Jupyter Notebook

Hashtag_Prediction

Predicting hashtags from Images to capture the image content

Jupyter Notebook

artificial-life-simulation

Codes for Simulating artificial agents

gan_exp

Experimenting different GAN models and building a framework for easy prototyping

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python_multiprocessing

using python multiprocessing api for data mining

Fine_Tuning_CNN_Architectures

Retraining and Fine tuning the Famous Convolution Architectures like VGG, Alexnet

Jupyter Notebook

function-map

Finds functions inside the directory and where they are called