JDeepAI's repositories
apache-spark-dse230x
Big Data Analytics Using Spark, UC San Diego - DSE230X
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.
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
deep_learning_coronavirus_cure
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
2019-nCov
Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
teachingdatascience
A set of resources for those teaching data science courses.
DocProduct
Medical Q&A with Deep Language Models
eicu-code
Code and website related to the eICU Collaborative Research Database
FashionMNIST_Image_Classification
This notebook investigates whether multiple CNN models can achieve higher classification accuracy than any individual model.
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.
theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
dragonfly
An open source python library for scalable Bayesian optimisation.
Knowledge_distillation_methods_wtih_Tensorflow
Knowledge distillation methods implemented with Tensorflow (now there are 9 (+1) methods, and will be added more.)
constrained-graph-variational-autoencoder
Sample code for Constrained Graph Variational Autoencoders
yandex-big-data-analysis
Assignments of the "Big Data Analysis" course proposed by Yandex on Coursera
Chemogenomic-DTI-Prediction-Methods
Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods
data-tutorials
Hortonworks tutorials
napier-haskell
Haskell exercises from Mathematics for Software Engineering SET07106 module
CH485---Artificial-Intelligence-and-Chemistry
CH485 - Artificial Intelligence and Chemistry
mol-cycle-gan
Mol-CycleGAN - a generative model for molecular optimization
Machine-Learning-with-Python
Machine Learning Implementations in Python
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
rdkit
The official sources for the RDKit library