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qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

quasi-newton-rl

Quasi-Newton optimization methods for large reinforcement learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

replace

RePlAce global placement tool

requests-for-research

A living collection of deep learning problems

rnn_benchmarks

RNN benchmarks of pytorch, tensorflow and theano

rsyn-x

Rsyn – An Extensible Physical Synthesis Framework

ruby-pet

Electronic schematics editor (inspired by gschem/gEDA) -- Ruby GTK3 version

rxn-ir-to-structure

Predicting molecular structure from Infrared (IR) Spectra

sa-pcb

Annealing-based PCB placement tool

salt

Steiner Shallow-Light Tree for VLSI Routing

scipy

Scipy library main repository

scipy-ipd-old

sdlbfgs

sgdlibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17

simple-word-and-char-rnn-tensorflow

smiles-bert

smiles-gpt

Generative Pre-Training from Molecules

sqn

Sampled Quasi-Newton Methods for Deep Learning

sr1-n

stftgrad

Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"

stochqn

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

subsampled-newton

sutton-barto-rl-exercises

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-models

Models and examples built with TensorFlow

test

textcategorization

:zap: Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.