viaconbodhi Goto Github PK

big-list-of-naughty-strings

The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.

client-python

Python client library for Mistral AI platform

cnn-presentation

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cookbook

course22

The fast.ai course notebooks

cs516-project

dow-sp500-100-years

Historical time series of DOW and S&P500 dating back 100 plus years

fast_arrow

A simple yet robust API client for Robinhood

fastai

The fastai deep learning library

fastai1

v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.

fastquant

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

finance-invoicing

Automated processing of monthly invoicing for services through API integration of Jira and Smartsheets.

finance-sla-processing

Automated processing of service level agreements for services through API integration of Jira, Docusign and Smartsheets.

foobar.withgoogle.com

Welcome to foobar version 1-335-gea1c3e3-beta

hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

jira-migration-public

Public version of a custom Jira Service Desk migration that required removal of PHI and other specific requirements for QA.

liteai

llp_026_mysql_pyqt_example

MySQL and PyQt demo tool for simple database storage

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

monorepo

The mitosheet package, trymito.io, and other public Mito code.

nemo

NeMo: a framework for generative AI

ner-ous

Biomedical NER system utilizing Bidirectional LSTM-CRF model.

nlp

:memo: This repository recorded my NLP journey.

opstrat

Option visualization python package

pinkfish

A backtester and spreadsheet library for security analysis.

poptions

Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations. The Monte Carlo Simulation runs thousands of individual stock price simulations and uses the data from these simulations to average out a POP number.

py-edgar

A small library to access files from SEC's edgar

pyetrade

Python E-Trade API Wrapper

pyfolio

Portfolio and risk analytics in Python