asaelbarilan Goto Github PK

boosting

python numpy implementation from scratch of gradient boosting and ada boost algorithm

cancer-recognition-deeplearning

deep-learning

exercises from yandex course

deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

discrete-optimization-

those are algorithms from Coursera discrete optimization course

genetic-algorithm

implementation from scratch of genetic algorithm-using it for classification

gmm

its an example for an python numpy implementation of GMM for calssification

kmeans-clssifier

knn-classifier-python-implementation-

linear-regression-

logistic-regression-

its an example for an python numpy implementation of logisic regression from scratch

multi_agent_llm_platform

multi_agent_llm_platform

n4sid

i created a class for system identification using n4sid algorithm- the improvement here which doesn''t exist in python is the ability to use out put and system order only

naive-bayes-calssifier

nlp-text-classifiers

i use two models

rejection-sampling

python implementation for rejection sampling and importance sampling

sdc_course

Short course about self-driving cars

svm

the project contains SVM implementations from scratch in numpy,python

text-generation

text generation with VAE