Repository Index

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

• clinicalbert
• hospital-readmission
• prediction

Solve captcha without manually labeling a training set

• keras
• gan
• neural-network
• generative-adversarial-network

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.

Urban Informatics and Visualization (UC Berkeley CP255)

This trading-gym is the first trading for agent to train with episode of short term trading itself.

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-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

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

• probabilistic-programming
• neural-network
• tensorflow
• keras-tensorflow

General Modeling Network Specification

• network
• specification
• highway-network
• road-network

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning

Compilado de recursos sobre Computação Quântica em português

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.

• big-data
• bigdata
• spark
• spark-sql

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

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

Research experiments exploring uncommon quant techniques.

• analysis
• jupyter-notebook
• python
• quant

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

• fine-tuning
• vgg16
• resnet18
• densenet121

💸 Papers and Code Implements for Quantitative-Trading

Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.

• ad9833
• ad9834
• ad9850
• adf4351

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network

Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105

An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.

• tensorflow-lite
• tflite
• computer-vision
• deep-learning

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.