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prml

PRML algorithms implemented in Python

progressreporting

Tools for easily reporting the progress of long time lasting loops

project-reports

psetpartners

MIT pset partners project

pyrcca

Regularized kernel canonical correlation analysis in Python

python-exercises-with-cms-data

For Bachelor/Master Thesis Students

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

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

python-numpy-mini-course

Python/Numpy for High-Performance Numerical Processing

pythoncrashcourse

A quick introduction to Python for Scientists and Engineers

pytorch-deep-learning

Deep Learning (with PyTorch)

qft

Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.

qft1

qft2

Quantum Field Theory 2

qm

radiotelescope

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

rob101

Pilot course for Robotics 101: Computational Linear Algebra

roottutorial

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

selected-topics-in-nuclear-and-particle-physics

Repository of the notebooks exercises of the EPFL lecture "Selected topics in nuclear and particle physics".

spikeduino

Event based neural network implementation for Arduinos.

ssi2016-jet-clustering

Improving jet clustering using different unsupervised learning algorithms

standard-model-graphic

TikZ version of the standard model graphic from particle fever

stanford-cs193g-sp2010

This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010

stanford-tensorflow-tutorials

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

stat212b

Topics Course on Deep Learning UC Berkeley

stat_rethinking_2020

Statistical Rethinking Course Winter 2020/2021

statistics-notes

Personal notes on statistics with a focus on applications to experimental high energy physics

stats320

STATS320: Statistical Methods for Neural Data Analysis