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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

analyzing-covid-19-s-effect-on-the-stock-market-using-twitter-api-and-nlp

applying-the-stereoscopic-portfolio-optimization-spo-framework-to-an-intraday-statistical-arbitrage

Repo of blog post created for QuantInsti entitled"Applying the Stereoscopic Portfolio Optimization(SPO) Framework to an Intraday Statistical Arbitrage Strategy". Provides introduction and walkthrough of the idea of the SPO Framework, data used in blog post(fundamental and price) as well as the original paper I wrote introducing the idea of the SPO Framework as a solution to the portfolio optimization problem.

bert

TensorFlow code and pre-trained models for BERT

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

covid-and-its-effects

Project documents for IFSC 5345:Information Visualization.

meansum

metaseq

Repo for external large-scale work

plmpapers

Must-read Papers on pre-trained language models.

polynomial-regression-adding-non-linearity-to-a-linear-model

Jupyter Notebook of a post created for QuantInsti. Introduces transformations to deal with non-linear data.

protobuf

Protocol Buffers - Google's data interchange format

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

ualr-machine-learning-computer-vision-summer-camp-19

Resources/Materials from UALR ML and CV Summer Camp

using-k-means-clustering-for-pair-selection-in-python

Jupyter Notebook of Blog "Using K-Means Clustering for Pair Selection in Python" Published on QuantInsti's Blog.

using-linear-discriminant-analysis-for-quantitative-portfolio-management

Jupyter Notebook of Post Created for QuantInsti.

using-quadratic-discriminant-analysis-to-optimize-an-intraday-momentum-strategy

Jupyter Notebook of Post for QuantInsti