unosonu Goto Github PK

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mnemonicreader

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

models

Models built with TensorFlow

momentum-trading-example

An example algorithm for a momentum-based day trading strategy.

monmlp

:exclamation: This is a read-only mirror of the CRAN R package repository. monmlp — Multi-Layer Perceptron Neural Network with Optional Monotonicity Constraints

monte-carlo-tree-search

Monte carlo tree search in python

multinli

mystic

highly-constrained non-convex optimization and uncertainty quantification

ner-test

Testing NER with different models for small sized dataset.

neural-machine-translation

PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the parameter estimation process.

neuralconvo

Neural conversational model in Torch

news-graph

Key information extraction from text and graph visualization

nmt

TensorFlow Neural Machine Translation Tutorial

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

nsepy

Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices

nsetools

Realtime Data From National Stock Exchange (India)

ntnu-som

Using Self-Organizing Maps for Travelling Salesman Problem

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pandas-effectivebfs

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

part2

pdftabextract

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

pi-hole

A black hole for Internet advertisements

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

pretrained

The most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pwc

Papers with code. Sorted by stars. Updated weekly.

pyconcorde

Python wrapper around the Concorde TSP solver