[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
55,140 visible repositories in the index
49–72 of 92 · Most stars
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Synthetic data generators for tabular and time-series data
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
"Neural Turing Machine" in Tensorflow
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Introduction to Statistics using Python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
The repository host gives no description.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Pathology Foundation Model - Nature Medicine
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Presentations from H2O meetups & conferences by the H2O.ai team
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Urban Informatics and Visualization (UC Berkeley CP255)
Materials for GWU DNSC 6279 and DNSC 6290.
This repository is a collection of TTS Models in TFLite
ChatGPT Python Applications integrated with third party libraries and modules
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.