miyainnyc Goto Github PK

2015

Public material for CS109

2016-march-data-crunch-madness-

Machine Learning, Python Sklearn, 2016 NCAA, Classification, Data Mining

2016summer_ra-api

Python, graphlab, twitter api, crawling

allennlp

An open-source NLP research library, built on PyTorch.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PYMC3)

big-data-course-projects

SQLITE, google bigquery,

bokeh

Interactive Web Plotting for Python

bqplot

Plotting library for IPython/Jupyter Notebooks

character-bert

Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

charbert

CharBERT: Character-aware Pre-trained Language Model (COLING2020)

cleanlab

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

collection_free_dl_resources

My exhaustive repo of free deep learning resources

content

Official content for Harvard CS109

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

data-visualization

Data Warehousing and Business Analytics for Managers (D3, Python Matplotlib, Cognos, Tableau)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepl.ng

Python, Deep Learning, Tensorflow

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deeplearningprojectworkflow

Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016

distributed-machine-learning

PySpark, Databrick, h2o, MLlib

doc2vec

Python scripts for training/testing paragraph vectors

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ebert

equity-financing-for-nffai

Repository for a paper written during quarantine 2020

ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

financial-analysis-python-tutorial

Financial Analysis in Python tutorial

financial-modeling

Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling

finbert

Financial Sentiment Analysis with BERT

finbert-1

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097