JDeepAI's repositories

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apache-spark-dse230x

Big Data Analytics Using Spark, UC San Diego - DSE230X

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ArtGAN

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

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2019-nCov

Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus

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teachingdatascience

A set of resources for those teaching data science courses.

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DocProduct

Medical Q&A with Deep Language Models

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eicu-code

Code and website related to the eICU Collaborative Research Database

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FashionMNIST_Image_Classification

This notebook investigates whether multiple CNN models can achieve higher classification accuracy than any individual model.

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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theMLbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

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tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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dragonfly

An open source python library for scalable Bayesian optimisation.

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Knowledge_distillation_methods_wtih_Tensorflow

Knowledge distillation methods implemented with Tensorflow (now there are 9 (+1) methods, and will be added more.)

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constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

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yandex-big-data-analysis

Assignments of the "Big Data Analysis" course proposed by Yandex on Coursera

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Chemogenomic-DTI-Prediction-Methods

Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods

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data-tutorials

Hortonworks tutorials

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napier-haskell

Haskell exercises from Mathematics for Software Engineering SET07106 module

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CH485---Artificial-Intelligence-and-Chemistry

CH485 - Artificial Intelligence and Chemistry

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mol-cycle-gan

Mol-CycleGAN - a generative model for molecular optimization

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Machine-Learning-with-Python

Machine Learning Implementations in Python

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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rdkit

The official sources for the RDKit library

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