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Post-mortem debugging tool for Python that provides direct access to variables and frames after exceptions occur. Rich tracebacks, frame inspection, and context execution without separate interacti…
Python package for tracking investment portfolios and calculating adjusted cost basis (ACB) for Canadian tax reporting
Pygments is a generic syntax highlighter written in Python
A CLI tool built using Python for calculating your capital gains and adjusted cost base (ACB) for Canadian taxes.
A PyTorch implementation of constrained optimization and modeling techniques
The fastai book, published as Jupyter Notebooks
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A Python Package that uses Genetic Algorithms to generates A/B/n test groups from a population, across time and metrics
An Interactive Introduction to Fourier Transforms
A python package for time series forecasting with scikit-learn estimators.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A python package for hierarchical forecasting, inspired by hts package in R.
This repository contains implementations and illustrative code to accompany DeepMind publications
Start Tensorboard in Jupyter Notebook
Repo has PyTorch implementation "Attention is All you Need - Transformers" paper for Machine Translation from French queries to English.
Personal framework to run trading strategies with Backtrader
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Time series forecasting with PyTorch
A python package to access tsetmc data
work with Tehran stock exchange data 💹 in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.