Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
cae-invar
Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder
chuck-norris-facts-api
A sample REST api using the FastApi framework, exposing some Chuck Norris facts.
cours-spark-telecom
Cours sur Spark donné à Telecom
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
INFMDI-721
SD701
spark_project_kickstarter_2019_2020-master_KC
spark in scala / machine learning pipeline
Kaelig_Castor
ckaelig's Repositories
ckaelig/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
ckaelig/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
ckaelig/cae-invar
Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder
ckaelig/chuck-norris-facts-api
A sample REST api using the FastApi framework, exposing some Chuck Norris facts.
ckaelig/cours-spark-telecom
Cours sur Spark donné à Telecom
ckaelig/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
ckaelig/INFMDI-721
ckaelig/SD701
ckaelig/spark_project_kickstarter_2019_2020-master_KC
spark in scala / machine learning pipeline
ckaelig/dashboard
Tableau de bord de suivi de l'épidémie de nouveau coronavirus
ckaelig/data-science-career
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
ckaelig/Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
ckaelig/dnnviewer
Deep Neural Network viewer
ckaelig/gcn
Implementation of Graph Convolutional Networks in TensorFlow
ckaelig/gdelt2019
Project GDELT
ckaelig/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
ckaelig/graphsage-simple
Simple reference implementation of GraphSAGE.
ckaelig/jupyter
Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks
ckaelig/mlflow-demo
A demo project using MLflow machine learning lifecycle management platform
ckaelig/MyTwitterApp
Twitter API Test
ckaelig/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"