Python Learning-python Resources

User-friendly, tiny source code searcher written in pure Python. Example Usages Cat is equivalent in the regular expression as '^Cat$' bor class Cat

CalcuPy 📚 Create console-based calculators in a few lines of code. 📌 Installation pip install calcupy 📌 Usage from calcupy import Calculator calc

Please star this project! Written in Python Report Bug . Request Feature DISCLAIMER This project is in its early days, everything you see here is almo

PoseNet of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image" Introduction This repo is official Py

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Python Crypto Bot

Example of network fine-tuning in pytorch for the kaggle competition Dogs vs. Cats Redux: Kernels Edition Currently

pytorch-practice Some example scripts on pytorch CONLL 2000 Chunking task Uses BiLSTM CRF loss with char CNN embeddings. To run use: cd data/conll2000

PyTorch Project Template is being sponsored by the following tool; please help to support us by taking a look and signing up to a free trial PyTorch P

Effective PyTorch Table of Contents Part I: PyTorch Fundamentals PyTorch basics Encapsulate your model with Modules Broadcasting the good and the ugly

DeepNLP-models-Pytorch Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ: NLP with Deep Learning) This is not for Pytorch be

PyTorchZeroToAll Quick 3~4 day lecture materials for HKUST students. Video Lectures: (RNN TBA) Youtube Bilibili Slides Lecture Slides @GoogleDrive If

pytorch-fcn PyTorch implementation of Fully Convolutional Networks. Requirements pytorch = 0.2.0 torchvision = 0.1.8 fcn = 6.1.5 Pillow scipy tqdm

This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less

Table of Contents: Introduction to Torch's Tensor Library Computation Graphs and Automatic Differentiation Deep Learning Building Blocks: Affine maps,

Minimal tutorials for PyTorch adapted from Alec Radford's Theano tutorials. Tensor multiplication Linear Regression Logistic Regression Neural Network

C++ Implementation of PyTorch Tutorials for Everyone OS (Compiler)\LibTorch 1.9.0 macOS (clang 10.0, 11.0, 12.0) Linux (gcc 8, 9, 10, 11) Windows (msv

Deep Learning Models A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks. Traditiona

Deep Learning Materials by Deep Learning Wizard Start Learning Now Please head to www.deeplearningwizard.com to start learning! It is mobile/tablet fr

Deep Learning (with PyTorch) This notebook repository now has a companion website, where all the course material can be found in video and textual for

D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley | Latest version

PyTorch Examples WARNING: if you fork this repo, github actions will run daily on it. To disable this, go to /examples/settings/actions and Disable Ac

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, TensorFlow Lite, Keras, Caffe, Darknet, ncnn,

Hierarchical neural-net interpretations (ACD) 🧠 Produces hierarchical interpretations for a single prediction made by a pytorch neural network. Offic

Correlation Explanation Methods Official implementation of linear correlation explanation (linear CorEx) and temporal correlation explanation (T-CorEx

FlashTorch A Python visualization toolkit, built with PyTorch, for neural networks in PyTorch. Neural networks are often described as "black box". The

Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Comprehensive collection of Pixel Attribution methods for Computer Vision.

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base learners for the uplift models. Evaluation functions expect a PySpark dataframe as input.

toyota-na Python client for Toyota North America service API Install pip install toyota-na[qt] [qt] is required for generating authorization code. Us

WAR DUCK Este joguinho bem simples tem como objetivo treinar um pouquinho de POO com python. Não é nada muito complexo mas da pra se divertir Como rod

Virtual Mouse Using OpenCV In this project we will be using the live feed coming from the webcam to create a virtual mouse using hand tracking. Projec

Robust and effective logging for Python 2 and 3.

Code2flow generates call graphs for dynamic programming language. Code2flow supports Python, Javascript, Ruby, and PHP.

The (Python-based) mining software required for the Game Boy mining project.

Remixer - Pytorch Implementation of the Remixer Block from the Remixer paper, in Pytorch. It claims that substituting the feedforwards in transformers

Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Paper Created by Liyi Luo, Beiwen Tian, Hao Zhao and Guyue Zhou from Institute for AI In

x-transformers A concise but fully-featured transformer, complete with a set of promising experimental features from various papers. Install $ pip ins

AlignShift NEW: Code for our new MICCAI'21 paper "Asymmetric 3D Context Fusion for Universal Lesion Detection" will also be pushed to this repository

Merlion: A Machine Learning Library for Time Series Table of Contents Introduction Installation Documentation Getting Started Anomaly Detection Foreca

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

TUT live age estimator Python implementation of a live deep learning based age/gender/smile/celebrity twin recognizer. All components use convolutiona

Semi-supervised-learning-for-medical-image-segmentation. Recently, semi-supervised image segmentation has become a hot topic in medical image computin

Website, Tutorials, and Docs    Uncertainty Toolbox A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualizatio

ml-in-cosmology This github attempts to maintain a comprehensive list of published machine learning applications to cosmology, organized by subject ma

🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

Machine learning that just works, for effortless production applications

- "The project for the most brutal and effective language learning technique" (c) Alex Kay The langflow project was created especially for language le

ATTENTION Vous ne devez pas copier coller le code sans le comprendre, apprennez déjà, le python et pygame, et seulement ensuite, vous pourrrez l'utili

bing image downloader app bing image downloader app is used to download bulk images for a specific search term. bing image downloader app gets the sea

Pyteal Extensions Additional useful operations for Python Available Operations MulDiv64: calculate m1*m2/d with no overflow on multiplication (TEAL 3+

Lector de Ejercicios Este bot de discord está pensado para usarse únicamente en el discord de la materia Algoritmos y Programación I, de la Facultad d

✨ CONVEYOR FOR SLACK ✨ This is a friendly little Python app that will allow you to integrate your instance of Conveyor with your Slack workspace. In o

Trame Trame aims to be a framework for building interactive applications using a web front-end in plain Python. Such applications can be used locally

Denoc Compile Deno executables and compress them for all platforms easily. Install You can install denoc from PyPI like any other package: pip install

What is a keylogger? A keylogger is a software application or piece of hardware that monitors and records keystrokes made on a computer keyboard. The

Backdoor This is a Backdoor, created with Python 3. Types of Commands: Downloading / Uploading files. Launching / Deleting / Reading file's content. S

Pythonlings Welcome to Pythonlings, an automated Python tutorial program (inspired by Rustlings and Haskellings). WIP This program is still working in

Sampling Euler tours for uniform stimulus history Table of Contents About Examples Experiment 1 Experiment 2 Experiment 3 Experiment 4 Experiment 5 Co

Matrix4_code_rain A simple matrix code rain created using Python with Pygame. To run the code you will need Pygame and MS Mincho font. Create a projec

Chemistry in python Resources Used The following items are not made by me! Click the words to go to the original source Periodic Tab Json - Used in -

downloads-folder-automation Automating the process of sorting files in a user's downloads folder on Windows by file type. This script iterates through

Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration This repo contains only model Implementation of Zero-Shot Text-to-Speech for Text

PyCLA A Python Package for Portfolio Optimization using the Critical Line Algorithm Getting started To use PyCLA, clone the repo and install the requi

300+ Python Interview Questions

Muzic is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.

A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.

Geographic add-ons for Django REST Framework. Maintained by the OpenWISP Project.

SOS Django Template SOS Django Tempalate is a Django starter template that has opinionated and good solutions while starting your new Django project.

wemake-django-template Bleeding edge django2.2 template focused on code quality and security. Purpose This project is used to scaffold a django projec

Django 3.0+ project template This is a simple Django 3.0+ project template with my preferred setup. Most Django project templates make way too many as

A batteries-included Django starter project. For a production-ready version see the book Django for Professionals. 🚀 Features Django 3.1 & Python 3.8

py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe

ilpyt The imitation learning toolbox (ilpyt) contains modular implementations of common deep imitation learning algorithms in PyTorch, with unified in

dexguru-sdk.py dexguru-sdk.py allows you to access dex.guru public methods from your async python scripts. Installation To install latest version, jus

Daily bing walls A script to set the daily bing image as the wallpaper. It can also set from a random set of previously fetched wallpapers. usage: dai

Scientific Computational Imaging COde (SCICO) SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications

Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers

About subwAI subwAI - a project for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation

BitcartCC is a platform for merchants, users and developers which offers easy setup and use.

Add filters (background blur, etc) to your webcam on Linux.

PyTorch implementation of [1611.06440 Pruning Convolutional Neural Networks for Resource Efficient Inference] This demonstrates pruning a VGG16 based

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin

Example implementation of the L0 regularization method described at Learning Sparse Neural Networks through L0 regularization, Christos Louizos, Max W

Wiki and tutorials | Documentation | Getting Started | Algorithms | Design | FAQ Distiller is an open-source Python package for neural network compres

Code release for "Bayesian Compression for Deep Learning" In "Bayesian Compression for Deep Learning" we adopt a Bayesian view for the compression of

SpyTorch A tutorial on surrogate gradient learning in spiking neural networks Version: 0.4 This repository contains tutorial files to get you started

Intro PyTorch implementation of Learning to learn by gradient descent by gradient descent. Run python main.py TODO Initial implementation Toy data LST

OptNet: Differentiable Optimization as a Layer in Neural Networks This repository is by Brandon Amos and J. Zico Kolter and contains the PyTorch sourc

RAdam On the Variance of the Adaptive Learning Rate and Beyond We are in an early-release beta. Expect some adventures and rough edges. Table of Conte

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.

Flexitext is a Python library that makes it easier to draw text with multiple styles in Matplotlib

BMInf (Big Model Inference) is a low-resource inference package for large-scale pretrained language models (PLMs).

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification.

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Bunch of optimizer implementations in PyTorch

CryptoWatch Track your favorite crypto coin price and your wallet balance. Install Create .env: ADMIN_USER=admin ADMIN_PASSWORD=admin Configure you

openmc-plasma-source This python-based package offers a way of creating a parametric OpenMC plasma source from plasma parameters. The OpenMC sources a

Finding-LCM-using-python-from-scratch Here, I write a practice program to find the LCM i.e Lowest Common Multiplication of two numbers using python wi

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir