F# for Jupyter Notebooks
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F# for Jupyter Notebooks
Solve captcha without manually labeling a training set
TranslatedLearning machine learning and quantitative analysis, in progress
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.
Open source remote sensing dataset with benchmarks
Materials for GWU DNSC 6279 and DNSC 6290.
scikit-learn wrappers for Python fastText.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
ChatGPT Python Applications integrated with third party libraries and modules
Breaking captchas using torch
Analysis of High Frequency Trading on Bitcoin exchanges
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
TensorFlow Lite models for MIRNet for low-light image enhancement.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
A TensorFlow implementation of the Mnemonic Descent Method.
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
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.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
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