tamercs2005 Goto Github PK

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

monte-carlo

A Primer on Monte Carlo Methods. Examples: Monty Hall problem, Marathon Simulation, Simple Monte Carlo (sMC) -Andrew

multi-layer-perceptron

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

ontology

Supelec project

practicalai

📚A practical approach to learning and using machine learning.

problem-solving-training

Problem solving training for computer science students.

project-based-learning

Curated list of project-based tutorials

py

Repository to store sample python programs for python learning

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytholog

Python library that enables using prolog logic in python. The aim of the library is to explore ways to use symbolic reasoning with machine learning.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-ml-case-studies

Source code for 'Python Machine Learning Case Studies' by Danish Haroon

python-multiprocessing-engine

python-mysql-guide

python scripts for handling basic mysql operations

python_group

repo for Python Programming Language FB Group

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

reactive-programming-

reading-general-programming-books

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

solomonxie.github.io

A personalised tech-blog, notebook, diary, presentation and introduction.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

steppy

Lightweight, Python library for fast and reproducible experimentation :microscope:

studyplan

teaching