mbrhd Goto Github PK

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prognosticsalgorithmlibrary

prognosticsmetricslibrary

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pump-and-dump-dataset

The dataset contains a list of pump and dumps arranged by groups on Telegram.

pysheeet

Python Cheat Sheet

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

quickstart-js

Firebase Quickstart Samples for Web

rasa-demo

:tiger: Sara - the Rasa Demo Bot: An example of a contextual AI assistant built with the open source Rasa Stack

reinventgpulab

Reinvent 2019 GPU lab

serverless-ai-workshop

This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker

smallmatter-package

Sample wrappers to streamline data-science tasks using Python toolkits (such as pandas, matplotlib, etc.) on AWS.

solr-ltr

From Zero to Learning to Rank in Apache Solr

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

time-series-machine-learning

Machine learning models for time series analysis

timeseries

Implementation of deep learning models for time series in PyTorch.

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

tsfresh

Automatic extraction of relevant features from time series:

tutorials

PyTorch tutorials.

weasyprint

WeasyPrint converts web documents (HTML with CSS, SVG, …) to PDF.

webscrap_geojson

webscrap_superset

website_wedding