3d-deep-learning-with-pytorch

In this work, mesh rendering, texture rendering and differentiable rendering will be implemented.

advection-linear-diffusion

In this notebook we are going to see how any function may diffuse in space and time using first oder PDE

assignment-of-natural-language-processing

In this work, Logistic regression and Naive bayes were implemented

assignment_ammi

python

cassava-leaf-disease-detection

cat-and-dog-classifier

computer vision project

climate-data-analysis

In this task we are going to learn how to apply data analysis in climate change

computer-vision

computer-vision-paddy-disease-detection

In this notebook you are going to see how computer vision was used to classify paddy disease as a problem that is attacking the rice.

convolution-nn-on-cifar10-

convolutional-neural-network

Here is the presentation of convolutional neural network worked on the MNIST dataset

daisyworld-model

In thi model we are goig to implement the idea of Lovelock idea on daisyworld model. This is an important model that helps to understand the concept behind attractor and prey that works alot in dynamical system when there is a competition of more than two species.

data-structure-linked-list

Here I will show we can use LinkedList to do different tasks.

decoder-implementation-nlp

Here in this lab, text decoder was implemented.

dna-classification-with-kernel-methods

This notebook will teach how classification of DNA can be done with the usage of different kernels (This is Kaggle competition codes which earned 5th position)

e2e-demo

End2End Machine learning

earth-system-modeling

In this repository, we will learn more about energy balance, climate feedbacks, and climate sensitivity. In addition we will explore how to use packages such as climlab, metpy, tephigram, and so on.

engineer

example

gasanaelysee12

Config files for my GitHub profile.

gasanaelysee12.github.io

My webpage

geometric-deep-learning

In this notebook I am going to show you how to use python to check equivariance, invariance in Graph Neural Network

git-assignment

graph-neural-network

In this notebook we are going to show how you can convert tabular data into graph and use it to do your task using graph neural network.

gru-and-transformer-nlp

Machine translation implementation

hate-speech-detection

In this project machine learning techniques will be used to detect the hate speech from collected tweet.

introduction-to-python

general course python

lab3_n_gram_nlp

This lab is for implementation of n_grams and predict the next words due to given n value.

lapse-rate-feedback

The temperature in the Northern hemisphere poleward was increased. Different external and internal forcings contributed to this, however, in this notebook the contribution of the lapse rate feedback is going to be explored using Radiative-Convective Equilibrium(RCE) Model

machine-translation-with-pretrained-model

In this work, I used pre-trained model to implement machine translation