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ad-robust

Repository for the Robustness For Free: Adversarially Robust Anomaly Detection Through Diffusion Model paper

biastest

capulus

Secure chat app with end-to-end encryption.

celeba-spoof-resized

chatapp

classification-residual-cnn

Classification of MNIST dataset using residual CNN.

compiler-project

A compiler project for course "Design of Compilers"

conv-net

Deep Learning course HW2. Train and test a convolutional neural network for the FashionMNIST dataset.

dimensionality-reduction-autoencoder

Using autoencoder to reduce the input dimensions of COVID-19 dataset to capture discriminative features of the inputs and make predictions.

dior-ood

DIOR for classification and OOD Detection

image-captioning-rnn

A model for captions for images using rnn and huggingface BERT.

licencia

lunar-lander-rl

Implementation of LunarLander-v2 environment of gym library using Deep Q-Network.

ml-final-project

Final Project for Sharif University Fall 2022 Introduction to ML Course

neural-net

Deep learning course HW1: Train and Test A Feedforward Artificial Neural Network on FashionMNIST dataset.

neural-net-from-scratch

Complete implementation of neural networks using only NumPy.

nuaa-ood

Pytorch implementation of NUAA Photograph Imposter Database

passenger-prediction-lstm

Prediction of monthly passengers of airline using LSTM and GRU from dataset of number of passengers over time for consecutive months.

pl-project

An interpretter for a python-like language.

project_team-40

Project_team-40 created by GitHub Classroom

robust-test

sentiment-analysis-glove

Sentiment analysis of IMDB reviews dataset using GloVe word embedding and LSTM network.

smart-lamp

project-97110036-98105813 created by GitHub Classroom

spam-classification-transformers

Spam classification using huggingface BERT word embedding and transformer model.

stock-price-prediction

Prediction of stock prices using a simple LSTM network.

vae-image-generator

Generation of new images using MNIST numbers dataset and interpretation of outputs.