6064 Open source projects that are alternatives of or similar to Ssss

Microsoft Quantum Development Kit Samples

Simulations of photonic quantum programmable gate arrays

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

A university quantum algorithms/computation course supplement based on Qiskit

Python module for interfacing with the CQC t|ket> library of quantum software

Companion site for the textbook Quantum Computing: An Applied Approach

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX

Tutorials and programming exercises for learning Q# and quantum computing

Repository containing monthly challenges about quantum computing.

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

Tutorials for Quantum Algorithms with Qiskit implementations.

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

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Use the TPC-DS benchmark to test Spark SQL performance

Machine learning lessons and teaching projects designed for engineers

Machine Learning Projects and Learning Content

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

How to Win a Data Science Competition: Learn from Top Kagglers

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Four Courses Specialization Tensorflow in practise Specialization

Short tutorial for TensorFlow, designed to be presented in-person

机器学习算法项目

Demos of Plotly's Real-time Streaming API

Machine Learning for High Energy Physics.

Pytorch tutorials for Neural Style transfert

Machine Learning Concepts with Concepts

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Codes for my mathematical statistics course

Python数据分析实战项目汇总~

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

Curso Maestro Python 3 en Udemy (20 horas)

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Create publication-quality books from Jupyter notebooks

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

This repository consists of all my Machine Learning Projects.

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

Resources for STA 633 class

Short Course - Applied Machine Learning for Risk Management

Various material around private machine learning, some associated with blog

天池比赛，kaggle等等（Keras/PyTorch实战）

🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Notebooks and other materials for Reading and Writing Electronic Text

Speedml Python Notebooks

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Microsoft Graph Security API applications and services.