ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Repository Index
47,133 repositories indexed
73–96 of 116 · Most stars
The codes I made while I practiced various TensorFlow examples
Mostly experiments based on "Advances in financial machine learning" book
The repository host gives no description.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
- clinicalbert
- hospital-readmission
- prediction
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Jupyter's kernel for Elixir programming language
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
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)
Materials for GWU DNSC 6279 and DNSC 6290.
scikit-learn wrappers for Python fastText.
ChatGPT Python Applications integrated with third party libraries and modules
Analysis of High Frequency Trading on Bitcoin exchanges
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
GeneCompass
Integrated pipeline for multiplexed image analysis
- multiplexed-imaging
- python
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
- daru
- daru-view
- data-visualization
- plot-library
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant