q - Run SQL directly on CSV or TSV files
-
Updated
Aug 1, 2020 - Python
#
q
Here are 122 public repositories matching this topic...
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
machine-learning
neural-network
clustering
naive-bayes
linear-regression
pagerank
collaborative-filtering
expectation-maximization
logistic-regression
kdb
q
k-means
decision-trees
k-nearest-neighbours
reccomendersystem
heirarchical-clustering
page-rank
neural-network-regression
neural-network-classification
-
Updated
Aug 11, 2020 - q
Demonstration notebooks for Machine Learning
machine-learning
neural-network
notebook
jupyter-notebook
kdb
q
feature-engineering
embedpy
dimensionality
-
Updated
Jun 1, 2020 - Jupyter Notebook
poetiq - Platform O' Electronic Trading In Q
-
Updated
Jun 16, 2018 - q
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
-
Updated
Aug 28, 2019 - Rust
stores market data from cryptofeed to kdb+
-
Updated
Aug 24, 2020 - Python
Lane keeping assistant using Reinforcement learning
learning
reinforcement-learning
q-learning
torcs
rl
q
reinforcement
torcs-client
lane-keeping
lane-keeping-assistant
torcs-rl
-
Updated
May 19, 2020 - Python
Improve this page
Add a description, image, and links to the q topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the q topic, visit your repo's landing page and select "manage topics."
We need to create a
Q.Historydocumentation page that is similar in nature to the existing Q class documentation pages. See Q-ComplexNumber.html as an example.