Repository Index

Sources codes for: Mastering Python for Finance, Second Edition

• machine-learning
• python
• ai

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

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

Presentations from H2O meetups & conferences by the H2O.ai team

• h2o
• presentations
• meetups
• h2oai

An OCaml kernel for Jupyter (IPython) notebook

• ocaml
• functional-programming
• jupyter-kernels
• machine-learning

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.

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

Materials for GWU DNSC 6279 and DNSC 6290.

• data-science
• data-mining
• data-visualization
• machine-learning

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

• tensorflow-2
• tensorflow-lite
• on-device-ml
• model-quantization

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

• source-energy-balance
• canopy
• soil
• radiometric-temperatures

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

• protein
• protein-sequences
• protein-design
• representation-learning

TensorFlow Lite models for MIRNet for low-light image enhancement.

• tinyml
• tflite
• tensorflow2
• computer-vision

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)

• moloch
• suricata
• monitoring
• nsm

Detecting cancers on mobile phones

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

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

• single-cell
• scrna-seq
• scatac-seq
• deep-neural-networks

The repository host gives no description.

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer

• cancer
• foundation-model
• single-cell