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applied-deep-learning-with-keras

Deep Learning examples with Keras.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autoembedder

azure_ml_demos

bdmc

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

calogan

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

coinbasepro-python

The unofficial Python client for the Coinbase Pro API

divae

A package containing neural network architectures based on Variational Autoencoders (VAE) and Restricted Boltzmann Machines (RBM) for learning discrete latent structures.

dvae

Tensorflow implementation of DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

eagle_eyes_hackathon

The Eagle Eyes Hackathon

freqtrade

Free, open source crypto trading bot

freqtrade-strategies

Free trading strategies for Freqtrade bot

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hepqpr-qallse

Particle tracking on D-Wave.

intro-qc-triumf

Materials and notebooks for my first lecture series at TRIUMF, "An introduction to quantum computing and quantum annealing".

lhcolymp

parsingscripts

pyjet

The interface between FastJet and NumPy

qhack

Official repo for QHack—the quantum machine learning hackathon

qicl

qiskit-aqua

Aqua provides a library and tools to build applications for noisy quantum computers.

qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

qulacs

Variational Quantum Circuit Simulator for Quantum Computation Research

restricted-boltzmann-machines

Implementation of restricted Boltzmann machines in Tensorflow 2

tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders