Python Sentiment-analysis-using-XLnet-Deep-learning-in-natural-language-processing- Resources

NeoML is an end-to-end machine learning framework that allows you to build, train, and deploy ML models. This framework is used by ABBYY engineers for

Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o

Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll

Haiku: Sonnet for JAX Overview | Why Haiku? | Quickstart | Installation | Examples | User manual | Documentation | Citing Haiku What is Haiku? Haiku i

What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

Neural Tangents ICLR 2020 Video | Paper | Quickstart | Install guide | Reference docs | Release notes Overview Neural Tangents is a high-level neural

Documentation | FAQ | Release Notes | Roadmap | MACE Model Zoo | Demo | Join Us | 中文 Mobile AI Compute Engine (or MACE for short) is a deep learning i

fklearn: Functional Machine Learning fklearn uses functional programming principles to make it easier to solve real problems with Machine Learning. Th

The SHOGUN machine learning toolbox Unified and efficient Machine Learning since 1999. Latest release: Cite Shogun: Develop branch build status: Donat

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and

This video in better quality. einops Flexible and powerful tensor operations for readable and reliable code. Supports numpy, pytorch, tensorflow, and

Translated in 🇰🇷 Korean/ Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to

A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

Sonnet Documentation | Examples Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learn

Tensorpack is a neural network training interface based on TensorFlow. Features: It's Yet Another TF high-level API, with speed, and flexibility built

Quick Links: Installation | Documentation | WWDC 2019 | WWDC 2018 Turi Create Check out our talks at WWDC 2019 and at WWDC 2018! Turi Create simplifie

English | 简体中文 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

TFLearn: Deep learning library featuring a higher-level API for TensorFlow. TFlearn is a modular and transparent deep learning library built on top of

Chainer: A deep learning framework Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX Forum (en, ja

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a

Welcome to fastai fastai simplifies training fast and accurate neural nets using modern best practices Important: This documentation covers fastai v2,

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l

Keras: Deep Learning for Python Under Construction In the near future, this repository will be used once again for developing the Keras codebase. For

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

Apache Spark Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an op

PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration Deep neural networks b

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

scalene: a high-performance CPU and memory profiler for Python by Emery Berger 中文版本 (Chinese version) About Scalene % pip install -U scalene Scalen

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

Sixpack Sixpack is a framework to enable A/B testing across multiple programming languages. It does this by exposing a simple API for client libraries

McCabe complexity checker Ned's script to check McCabe complexity. This module provides a plugin for flake8, the Python code checker. Installation You

Radon Radon is a Python tool that computes various metrics from the source code. Radon can compute: McCabe's complexity, i.e. cyclomatic complexity ra

Dlint Dlint is a tool for encouraging best coding practices and helping ensure Python code is secure. The most important thing I have done as a progra

This project is no longer maintained March 2020 Update: Please go see the amazing Pysa tutorial that should get you up to speed finding security vulne

A security linter from PyCQA Free software: Apache license Documentation: https://bandit.readthedocs.io/en/latest/ Source: https://github.com/PyCQA/ba

pyupgrade A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language. Installation pip install pyupgrade As a pre

Jedi - an awesome autocompletion, static analysis and refactoring library for Python Jedi is a static analysis tool for Python that is typically used

Imhotep, the peaceful builder. What is it? Imhotep is a tool which will comment on commits coming into your repository and check for syntactic errors

bellybutton bellybutton is a customizable, easy-to-configure linting engine for Python. What is this good for? Tools like pylint and flake8 provide, o

flake8-bandit Automated security testing built right into your workflow! You already use flake8 to lint all your code for errors, ensure docstrings ar

"Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live." ― John F. Woods coala provides a

pylint-django About pylint-django is a Pylint plugin for improving code analysis when analysing code using Django. It is also used by the Prospector t

pytype - 🦆 ✔ Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can: Lint plain Python code, flagging c

Pyre is a performant type checker for Python compliant with PEP 484. Pyre can analyze codebases with millions of lines of code incrementally – providi

README for Pylint - https://pylint.pycqa.org/ Professional support for pylint is available as part of the Tidelift Subscription. Tidelift gives softwa

Flake8 Flake8 is a wrapper around these tools: PyFlakes pycodestyle Ned Batchelder's McCabe script Flake8 runs all the tools by launching the single f

lazydata: scalable data dependencies lazydata is a minimalist library for including data dependencies into Python projects. Problem: Keeping all data

psycopg2 - Python-PostgreSQL Database Adapter Psycopg is the most popular PostgreSQL database adapter for the Python programming language. Its main fe

Neo4j Bolt Driver for Python This repository contains the official Neo4j driver for Python. Each driver release (from 4.0 upwards) is built specifical

PyPika - Python Query Builder Abstract What is PyPika? PyPika is a Python API for building SQL queries. The motivation behind PyPika is to provide a s

Tink A multi-language, cross-platform library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse. Ubuntu

typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types

pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De

django-phonenumber-field A Django library which interfaces with python-phonenumbers to validate, pretty print and convert phone numbers. python-phonen

ImageKit is a Django app for processing images. Need a thumbnail? A black-and-white version of a user-uploaded image? ImageKit will make them for you.

FastAPI + React · A cookiecutter template for bootstrapping a FastAPI and React project using a modern stack. Features FastAPI (Python 3.8) JWT authen

Flask-profiler version: 1.8 Flask-profiler measures endpoints defined in your flask application; and provides you fine-grained report through a web in

Flask-Excel - Let you focus on data, instead of file formats Support the project If your company has embedded pyexcel and its components into a revenu

Flask-Moment This extension enhances Jinja2 templates with formatting of dates and times using moment.js. Quick Start Step 1: Initialize the extension

Flask-Migrate Flask-Migrate is an extension that handles SQLAlchemy database migrations for Flask applications using Alembic. The database operations

django-admin-bootstrapped A Django admin theme using Bootstrap. It doesn't need any kind of modification on your side, just add it to the installed ap

Flask-State English | 简体中文 Flask-State is a lightweight chart plugin for displaying machine state data in your web application. Monitored Metric: CPU,

GoAccess What is it? GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal on *nix systems or through y

lazynlp A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets. Using this libr

AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python This project is made for automatic web scraping to make scraping easy. It

Parsel Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with re

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

Django Facebook by Thierry Schellenbach (mellowmorning.com) Status Django and Facebook are both rapidly changing at the moment. Meanwhile, I'm caught

Google Images Download Python Script for 'searching' and 'downloading' hundreds of Google images to the local hard disk! Documentation Documentation H

Best-of Machine Learning with Python 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. This curated list contains 840 awe

django-nose django-nose provides all the goodness of nose in your Django tests, like: Testing just your apps by default, not all the standard ones tha

Dredd — HTTP API Testing Framework Dredd is a language-agnostic command-line tool for validating API description document against backend implementati

Ariadne Ariadne is a Python library for implementing GraphQL servers. Schema-first: Ariadne enables Python developers to use schema-first approach to

GraphQL The GraphQL specification is edited in the markdown files found in /spec the latest release of which is published at https://graphql.github.io

Feedback Transformer - Pytorch Simple implementation of Feedback Transformer in Pytorch. They improve on Transformer-XL by having each token have acce

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model The task of age transformation illustrates the change of an individual

trRosetta - Pytorch (wip) Implementation of trRosetta and trDesign for Pytorch, made into a convenient package

wallstreetbets-tracker Using Python and Pushshift.io to Track stocks on the WallStreetBets subreddit.

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning This is the PyTorch implementation of our paper: FeatMatch: Feature-Based Augmentat

T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep

Update for using DQN to play sekiro 2021.2.2（English Version） This is the code of using DQN to play Sekiro . I am very glad to tell that I have writen

DALL-E in Pytorch Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the ge

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation

Deep Forest (DF) 21 DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than

LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo

Bottleneck Transformer - Pytorch Implementation of Bottleneck Transformer, SotA visual recognition model with convolution + attention that outperforms

Trankit: A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Trankit is a light-weight Transformer-based Pyth

Finance Database As a private investor, the sheer amount of information that can be found on the internet is rather daunting.