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quantum-physics-informed-neural-network

Continuous Variable Quantum Physics Informed Neural Network for the Solution of 1D Poisson Equation.

quantum-x

Sketches of a QNN application on Quantum Circuits

quantumkatas

Tutorials and programming exercises for learning Q# and quantum computing

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

realsense-ros

Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module

reinforcement-learning

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

rl_pacman

Reinforcement Learning in Pacman

rosduct

Proxy to expose remote ROS topics, services and parameters locally thru rosbridge

rrpn

Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

rrpn_plusplus

RRPN++: Guidance Towards More Accurate Scene Text Detection

scaled-yolov4-tensorflow

Tensorflow implementation of Scaled YOLOv4 model

scaledyolov4

scaledyolov4-1

see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

sneakerbot

All-in-one bot, with auto captcha-solving and proxy management, using Node.js and Puppeteer.

srn.pytorch

Unofficial PyTorch implementation of Towards Accurate Scene Text Recognition with Semantic Reasoning Networks

sroie2019

ssd_keras

A Keras port of Single Shot MultiBox Detector

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stellargraph

StellarGraph - Machine Learning on Graphs

stockmarketpredictionswithrnn

The goal of this project was to predict stock market prices using a recurrent neural network. This project was inspired by the Standford paper "Financial Market Time Series Prediction with Recurrent Neural Networks Armando Bernal, Sam Fok, Rohit Pidaparthi December 14, 2012" . Using the Standford paper as a baseline, I was able to improve and beat the accuracy of their model using hyper parameter tuning of my RNN network.

streetmerchant

🤖 The world's easiest, most powerful stock checker

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

svhn-deep-digit-detector

Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

tensorboard

TensorFlow's Visualization Toolkit

tensorflow-2.x-yolov3

YOLOv3 implementation in TensorFlow 2.3.1

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs