mdabashar

Anomaly-Detection

Python Code and Explanation for Popular Anomaly Detection Algorithms.

bangla_word_embedding

Bangla Word Embedding

Bayesian-Neural-Network

Variational inference and MCMC for Bayesian neural networks

CNN_for_Misogynistic_Tweet_Detection

Convolutional Neural Network (CNN) to Detect Misogynistic Tweets

Deep-Learning-Algorithms

CNN, LSTM, RNN, GRU, DNN, BERT, Transformer, ULMFiT

GANs

My GAN Practice

miscellaneous

Propensity-to-Pay

QutNocturnal-Hasoc2019

Hate Speech and Offensive Content Identification in Hindi Language

TAnoGAN

mdabashar/TAnoGAN

mdabashar/Deep-Learning-Algorithms

CNN, LSTM, RNN, GRU, DNN, BERT, Transformer, ULMFiT

mdabashar/Propensity-to-Pay

mdabashar/miscellaneous

mdabashar/CNN_for_Misogynistic_Tweet_Detection

Convolutional Neural Network (CNN) to Detect Misogynistic Tweets

mdabashar/QutNocturnal-Hasoc2019

Hate Speech and Offensive Content Identification in Hindi Language

mdabashar/covid19

mdabashar/PyTorchCodes

Code for PyTorch Application

mdabashar/Anomaly-Detection

Python Code and Explanation for Popular Anomaly Detection Algorithms.

mdabashar/GANs

My GAN Practice

mdabashar/Awesome-explainable-AI

A collection of research materials on explainable AI/ML

mdabashar/Computer-Vision

mdabashar/Data-Extraction

Extract Data From Documents like .docx, .pdf

mdabashar/Data-Visualisation

mdabashar/EnvironmentConfigurationsForDataScience

Environmental configuration files used to aid in committing Data Science and Machine Learning.

mdabashar/GUI

mdabashar/komol

mdabashar/mdabashar

Config files for my GitHub profile.

mdabashar/mdabashar.github.io

mdabashar/meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

mdabashar/meta_learning

mdabashar/ML_with_Python

mdabashar/NaLLM

Repository for the NaLLM project

mdabashar/OCR

OCR Techniques

mdabashar/Optimisation

mdabashar/self-attention-GAN-pytorch

This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.

mdabashar/sentiment_analysis

Code used in paper

mdabashar/Traditional-Machine-Learning-Algorithms

Random Forest, XGBoost, Decision Tree, Support Vector Machines (linear and non-linear SVM), Multinomial Naive Bayes, k-Nearest Neighbours, Ridge Classifier

mdabashar/UnsupervisedLearning

mdabashar/Web-Scraping