4752 Repositories
Python Keras-Image-Embeddings-using-Contrastive-Loss Libraries
Dimensionality reduction in very large datasets using Siamese Networks
ivis Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets. Ivis
Statistical data visualization using matplotlib
seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Summary Pyroomacoustics is a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the pack
A fast MDCT implementation using SciPy and FFTs
MDCT A fast MDCT implementation using SciPy and FFTs Installation As usual pip install mdct Dependencies NumPy SciPy STFT Usage import mdct spectrum
Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.
Gammatone Filterbank Toolkit Utilities for analysing sound using perceptual models of human hearing. Jason Heeris, 2013 Summary This is a port of Malc
kapre: Keras Audio Preprocessors
Kapre Keras Audio Preprocessors - compute STFT, ISTFT, Melspectrogram, and others on GPU real-time. Tested on Python 3.6 and 3.7 Why Kapre? vs. Pre-co
Formatting of dates and times in Flask templates using moment.js.
Flask-Moment This extension enhances Jinja2 templates with formatting of dates and times using moment.js. Quick Start Step 1: Initialize the extension
Doing the OAuth dance with style using Flask, requests, and oauthlib.
Flask-Dance Doing the OAuth dance with style using Flask, requests, and oauthlib. Currently, only OAuth consumers are supported, but this project coul
Strong, Simple, and Precise security for Flask APIs (using jwt)
flask-praetorian Strong, Simple, and Precise security for Flask APIs API security should be strong, simple, and precise like a Roman Legionary. This p
Official implementation of the ICLR 2021 paper
You Only Need Adversarial Supervision for Semantic Image Synthesis Official PyTorch implementation of the ICLR 2021 paper "You Only Need Adversarial S
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation Exploring Cross-Image Pixel Contrast for Semantic Segmentation, Wenguan Wang, Tianfei Z
A vision library for performing sliced inference on large images/small objects
SAHI: Slicing Aided Hyper Inference A vision library for performing sliced inference on large images/small objects Overview Object detection and insta
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Unseen Object Clustering: Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation Introduction In this work, we propose a new method
the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
EmbedSeg Introduction This repository hosts the version of the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
PyTorch implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping Paper: https://arxiv.org/abs/2102.06171.pdf Original code: htt
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
用强化学习DQN算法,训练AI模型来玩合成大西瓜游戏,提供Keras版本和PARL(paddle)版本
用强化学习玩合成大西瓜 代码地址:https://github.com/Sharpiless/play-daxigua-using-Reinforcement-Learning 用强化学习DQN算法,训练AI模型来玩合成大西瓜游戏,提供Keras版本、PARL(paddle)版本和pytorch版本
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Sh
这是一个mobilenet-yolov4-lite的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。
YOLOV4:You Only Look Once目标检测模型-修改mobilenet系列主干网络-在Keras当中的实现 2021年2月8日更新: 加入letterbox_image的选项,关闭letterbox_image后网络的map一般可以得到提升。
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
deep-translator Translation for humans A flexible FREE and UNLIMITED tool to translate between different languages in a simple way using multiple tran
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam
Topic Modelling for Humans
gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you
Text preprocessing, representation and visualization from zero to hero.
Text preprocessing, representation and visualization from zero to hero. From zero to hero • Installation • Getting Started • Examples • API • FAQ • Co
Python package for performing Entity and Text Matching using Deep Learning.
DeepMatcher DeepMatcher is a Python package for performing entity and text matching using deep learning. It provides built-in neural networks and util
Beautiful visualizations of how language differs among document types.
Scattertext 0.1.0.0 A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding t
Basic Utilities for PyTorch Natural Language Processing (NLP)
Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
textgenrnn Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code, or quickly tr
:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...
Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
Sentence Embeddings with BERT & XLNet
Sentence Transformers: Multilingual Sentence Embeddings using BERT / RoBERTa / XLM-RoBERTa & Co. with PyTorch This framework provides an easy method t
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models
Interactive plotting for Pandas using Vega-Lite
pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra
Dimensionality reduction in very large datasets using Siamese Networks
ivis Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets. Ivis
Statistical data visualization using matplotlib
seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing
Learning embeddings for classification, retrieval and ranking.
StarSpace StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems: Learning wor
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
This video in better quality. einops Flexible and powerful tensor operations for readable and reliable code. Supports numpy, pytorch, tensorflow, and
Automated security testing using bandit and flake8.
flake8-bandit Automated security testing built right into your workflow! You already use flake8 to lint all your code for errors, ensure docstrings ar
Pylint plugin for improving code analysis for when using Django
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
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
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
Typical: Fast, simple, & correct data-validation using Python 3 typing.
typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types
Data parsing and validation using Python type hints
pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De
A django model and form field for normalised phone numbers using python-phonenumbers
django-phonenumber-field A Django library which interfaces with python-phonenumbers to validate, pretty print and convert phone numbers. python-phonen
Automated image processing for Django. Currently v4.0
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.
🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker
FastAPI + React · A cookiecutter template for bootstrapping a FastAPI and React project using a modern stack. Features FastAPI (Python 3.8) JWT authen
A flask extension using pyexcel to read, manipulate and write data in different excel formats: csv, ods, xls, xlsx and xlsm.
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
Formatting of dates and times in Flask templates using moment.js.
Flask-Moment This extension enhances Jinja2 templates with formatting of dates and times using moment.js. Quick Start Step 1: Initialize the extension
SQLAlchemy database migrations for Flask applications using Alembic
Flask-Migrate Flask-Migrate is an extension that handles SQLAlchemy database migrations for Flask applications using Alembic. The database operations
A Django admin theme using Twitter Bootstrap. It doesn't need any kind of modification on your side, just add it to the installed apps.
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
Display machine state using Python3 with Flask.
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,
Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors
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
Facebook open graph api implementation using the Django web framework in python
Django Facebook by Thierry Schellenbach (mellowmorning.com) Status Django and Facebook are both rapidly changing at the moment. Meanwhile, I'm caught
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Google Images Download Python Script for 'searching' and 'downloading' hundreds of Google images to the local hard disk! Documentation Documentation H
Command-line program to download image galleries and collections from several image hosting sites
gallery-dl gallery-dl is a command-line program to download image galleries and collections from several image hosting sites (see Supported Sites). It
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Best-of Machine Learning with Python 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. This curated list contains 840 awe
Django test runner using nose
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
Ariadne is a Python library for implementing GraphQL servers using schema-first approach.
Ariadne Ariadne is a Python library for implementing GraphQL servers. Schema-first: Ariadne enables Python developers to use schema-first approach to
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model The task of age transformation illustrates the change of an individual
Using Python and Pushshift.io to Track stocks on the WallStreetBets subreddit
wallstreetbets-tracker Using Python and Pushshift.io to Track stocks on the WallStreetBets subreddit.
PyTorch code for the paper: FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning This is the PyTorch implementation of our paper: FeatMatch: Feature-Based Augmentat
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.
T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep
This is the code of using DQN to play Sekiro .
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
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
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
DeiT: Data-efficient Image Transformers
DeiT: Data-efficient Image Transformers This repository contains PyTorch evaluation code, training code and pretrained models for DeiT (Data-Efficient
Learning Continuous Image Representation with Local Implicit Image Function
LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo
Implementation of Bottleneck Transformer in Pytorch
Bottleneck Transformer - Pytorch Implementation of Bottleneck Transformer, SotA visual recognition model with convolution + attention that outperforms
Image morphing without reference points by applying warp maps and optimizing over them.
Differentiable Morphing Image morphing without reference points by applying warp maps and optimizing over them. Differentiable Morphing is machine lea
A library for converting HTML into PDFs using ReportLab
XHTML2PDF The current release of xhtml2pdf is xhtml2pdf 0.2.5. Release Notes can be found here: Release Notes As with all open-source software, its us
Toolkit for Pyramid, a Pylons Project, to add Authentication and Authorization using Velruse (OAuth) and/or a local database, CSRF, ReCaptcha, Sessions, Flash messages and I18N
Apex Authentication, Form Library, I18N/L10N, Flash Message Template (not associated with Pyramid, a Pylons project) Uses alchemy Authentication Authe
Strong, Simple, and Precise security for Flask APIs (using jwt)
flask-praetorian Strong, Simple, and Precise security for Flask APIs API security should be strong, simple, and precise like a Roman Legionary. This p
Doing the OAuth dance with style using Flask, requests, and oauthlib.
Flask-Dance Doing the OAuth dance with style using Flask, requests, and oauthlib. Currently, only OAuth consumers are supported, but this project coul
Asynchronous Python HTTP Requests for Humans using Futures
Asynchronous Python HTTP Requests for Humans Small add-on for the python requests http library. Makes use of python 3.2's concurrent.futures or the ba
A micro web-framework using asyncio coroutines and chained middleware.
Growler master ' dev Growler is a web framework built atop asyncio, the asynchronous library described in PEP 3156 and added to the standard library i
Open-AI's DALL-E for large scale training in mesh-tensorflow.
DALL-E in Mesh-Tensorflow [WIP] Open-AI's DALL-E in Mesh-Tensorflow. If this is similarly efficient to GPT-Neo, this repo should be able to train mode
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Deep Daze mist over green hills shattered plates on the grass cosmic love and attention a time traveler in the crowd life during the plague meditative
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
artificial intelligence cosmic love and attention fire in the sky a pyramid made of ice a lonely house in the woods marriage in the mountains lantern
Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API
gpt3-instruct-sandbox Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API Description This project updates an existing GPT-3 san
Solve a Rubiks Cube using Python Opencv and Kociemba module
Rubiks_Cube_Solver Solve a Rubiks Cube using Python Opencv and Kociemba module Main Steps Get the countours of the cube check whether there are tota
Create a secure tunnel from a custom domain to localhost using Fly and WireGuard.
Fly Dev Tunnel Developers commonly use apps like ngrok, localtunnel, or cloudflared to expose a local web service at a publicly-accessible URL. This i
Python script to generate a visualization of various sorting algorithms, image or video.
sorting_algo_visualizer Python script to generate a visualization of various sorting algorithms, image or video.
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints Reward Function Template for waypoints def reward_function(params):
RealFormer-Pytorch Implementation of RealFormer using pytorch
RealFormer-Pytorch Implementation of RealFormer using pytorch. Includes comparison with classical Transformer on image classification task (ViT) wrt C
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition Experiments Model Params (M) Acc (%) ResNet50 baseline (ref) 23.5M 93.62 BoTNet-50 18.8M 95.11% BoTNet-
AIST++ API This repo contains starter code for using the AIST++ dataset.
AIST++ API This repo contains starter code for using the AIST++ dataset. To download the dataset or explore details of this dataset, please go to our
Using LSTM write Tang poetry
本教程将通过一个示例对LSTM进行介绍。通过搭建训练LSTM网络,我们将训练一个模型来生成唐诗。本文将对该实现进行详尽的解释,并阐明此模型的工作方式和原因。并不需要过多专业知识,但是可能需要新手花一些时间来理解的模型训练的实际情况。为了节省时间,请尽量选择GPU进行训练。
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking.
DEFT: Detection Embeddings for Tracking DEFT: Detection Embeddings for Tracking, Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara
This is the code for the paper "Contrastive Clustering" (AAAI 2021)
Contrastive Clustering (CC) This is the code for the paper "Contrastive Clustering" (AAAI 2021) Dependency python=3.7 pytorch=1.6.0 torchvision=0.8
Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
SupCon-Framework The repo is an implementation of Supervised Contrastive Learning. It's based on another implementation, but with several differencies
Age and Gender prediction using Keras
cnn_age_gender Age and Gender prediction using Keras Dataset example : Description : UTKFace dataset is a large-scale face dataset with long age span
Custom GUI for your Blender add-ons using Dear ImGui
Dear Imgui for Blender Use the infamous Dear ImGui library directly in your Blender scripts! This means custom GUI drawing in your operators: Normally
Ethereum Gas Fee for the MacBook Pro touchbar (using BetterTouchTool)
Gasbar Ethereum Gas Fee for the MacBook Pro touchbar (using BetterTouchTool) Worried about Ethereum gas fees? Me too. I'd like to keep an eye on them
Telegram Voice-Chat Bot Written In Python Using Pyrogram.
Telegram Voice-Chat Bot Telegram Voice-Chat Bot To Play Music From Various Sources In Your Group Support All linux based os. Windows Mac Diagram Requi
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
OpenVINO Inference API This is a repository for an object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operati
Create animations for the optimization trajectory of neural nets
Animating the Optimization Trajectory of Neural Nets loss-landscape-anim lets you create animated optimization path in a 2D slice of the loss landscap
A folder automation made using Watch-dog, it only works in linux for now but I assume, it will be adaptable to mac and PC as well
folder-automation A folder automation made using Watch-dog, it only works in linux for now but I assume, it will be adaptable to mac and PC as well Th
A framework for joint super-resolution and image synthesis, without requiring real training data
SynthSR This repository contains code to train a Convolutional Neural Network (CNN) for Super-resolution (SR), or joint SR and data synthesis. The met
This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.
Data Structure and Algorithms with Python This repository is related to the Arabic tutorial here, within the tutorial we discuss the common data struc