Mahmudulla Hassan's repositories
flask-base
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
folksonomication_source
Source code for Folksonomication @ COLING 2018
lsc
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
molecular-VAE
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
pandas_exercises
Practice your pandas skills!
Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
keras-retinanet
Keras implementation of RetinaNet object detection.
models
Models and examples built with TensorFlow
iexfinance
Python wrapper for the Investor's Exchange (IEX) Developer API (https://iextrading.com/developer/)
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
gcn
Implementation of Graph Convolutional Networks in TensorFlow
Activello
WordPress Bootstrap blog theme with doeznes of options using WordPress Customizer
flask-boilerplate
:rocket: Fully fledged Flask boilerplate code
keras-molecules
Autoencoder network for learning a continuous representation of molecular structures.
keras-multi-gpu
Multi-GPU data-parallel training in Keras
caffe
Caffe: a fast open framework for deep learning.
Parallel-analysis-in-the-MDAnalysis-Library
Benchmarking MDAnalysis with Dask (and MPI). Supplementary Information for SciPy 2017 paper.
mlchempapers
A sorted list of ML (mostly deep learning) papers relating to chemistry, biology, and drug discovery.
WeirdestGalaxies
This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.