tanaymeh Goto Github PK

100daysofcode

air-disaster-prediction

Here lies my code for predicting Airplane disaster. Achieved ~92% Accuracy on Test Set. Model is made using Core Tensorflow functions.

alien-signal-detection

Detecting Extra-terrestrial signals with the help of Patch-based Image Classification Deep Learning models.

autodidact

A pedagogical implementation of Autograd

autograd

Efficiently computes derivatives of numpy code.

bankpred

Predicting customer decisions (whether they stay or leave the bank) using Artificial Neural Networks in Keras and Sckitlearn

c-cpp-problems

catheter-tube-detection

My work on classifying the presence and correct placement of catheter tubes on chest x-rays to save lives.

chest_xray_webapp

Streamlit Web App for Pneumonia Chest XRay Detection.

cnn-mnist

Implementation of a Convolutional Neural Network in Core Tensorflow without using any High-level APIs

cnn-vae

This Repository consists of a Deep Convolutional-Variational Autoencoder (CNN-VAE) made in Python using Tensorflow 1.x

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

colab-hacks

Simple Hacks for Google Colaboratory to boost your productivity and help you to perform daily tasks.

college-admission-analysis

Here lies the notebook in which I've done Exploratory Data Analysis and trained a model for predicting chances of getting selected at a University.

complete-guide-to-tensorflow-for-deep-learning-with-python

composer

Train neural networks up to 7x faster

convnext-semantic-segmentation

Setting up and running Semantic Segmentation for ConvNext model

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

credit-fraud-scratch-tf

In this Mini-Project I am attempting to solve one of the most classic problems of Credit-Card Fraud Detection using Core Tensorflow (Basic Math and Optimization functions, no Higher Level APIs). Do give it a star if you find it helpful!

cryotherapy-prediction

Predicting if a Patient with given data needs Cryotherapy or not using Dense Neural Networks in Python using Keras API

cryzig-blog

Blog engine made in Python using FastAPI and SQL Alchemy as db.

cuda-python

CUDA Python Low-level Bindings

cuml

cuML - RAPIDS Machine Learning Library

dailycodebase

2 month data structures and algorithmic scripting challenge starting from 20th December 2018 - Coding is Fun! 💯💯 Do it everyday

danial-zaidi.github.io

data-science-adventures

This repository contains all my Data Science & EDA Projects (both on and off the blog)

data-structures-and-algorithms-hacktoberfest18

List of data structures and algorithms. Feel free to contribute under Hacktoberfest '18!

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-boltzmann-machine

This is an Implementation of Deep Restricted Boltzmann Models on MovieLens dataset using PyTorch

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.