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python-iota-workshop

Simple examples showing you how you can interact with the IOTA Tangle using Python

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python-pptx

Create Open XML PowerPoint documents in Python

python-timeseries

python-wasm

Build scripts and configuration for building CPython for Emscripten

python_summer_2021_2

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonrouge

Python implementation for evaluating summarization by ROUGE package

pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-infogan

My pytorch implementation of InfoGAN

pytorch-infogan-cr

My implementation of InfoGAN-CR

pytorch-practice

pytorch practice

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_yolov4

PyTorch implementation of YOLOv4

pytrends

Pseudo API for Google Trends

qiskit-ibm

Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators

qiskit-ionq

Qiskit provider for IonQ backends

qmf

A fast and scalable C++ library for implicit-feedback matrix factorization models

qosf-qgan

Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.

questdb

An open source SQL database designed to process time series data, faster

radar

ThoughtWorks Radar data

real-time-abnormal-events-detection-and-tracking-in-surveillance-system

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.

real-time-ocr

Real-time OCR with Tensorflow, openCV & Tesseract

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning