434 Repositories
Python some-tasks Libraries
automate some stuff so I can be more noob
dota automate some stuff so I can be more noob This is a simple project, but one that I've wanted forever! I use pyautogui, time, smtplib and datetime
Some ideas and tools to develop Python 3.8 plugins for GIMP 2.99.4
gimp-python-development Some ideas and tools to develop Python 3.8 plugins for GIMP 2.99.4. GIMP 2.99.4 is the latest unstable pre-release of GIMP 3.
Tracking Progress in Natural Language Processing
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
Hierarchical Pretraining: Research Repository This is a research repository for reproducing the results from the project "Self-supervised pretraining
Some bits of javascript to transcribe scanned pages using PageXML
nashi (nasḫī) Some bits of javascript to transcribe scanned pages using PageXML. Both ltr and rtl languages are supported. Try it! But wait, there's m
A community-driven python bot that aims to be as simple as possible to serve humans with their everyday tasks
JARVIS on Messenger Just A Rather Very Intelligent System, now on Messenger! Messenger is now used by 1.2 billion people every month. With the launch
Dogs classification with Deep Metric Learning using some popular losses
Tsinghua Dogs classification with Deep Metric Learning 1. Introduction Tsinghua Dogs dataset Tsinghua Dogs is a fine-grained classification dataset fo
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.
FastAPI with Celery Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue, Redis for Celery backend and flower for monitoring the
Web Inventory tool, takes screenshots of webpages using Pyppeteer (headless Chrome/Chromium) and provides some extra bells & whistles to make life easier.
WitnessMe WitnessMe is primarily a Web Inventory tool inspired by Eyewitness, its also written to be extensible allowing you to create custom function
Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks
Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks. It takes raw videos/images + text as inputs, and outputs task predictions. ClipBERT is designed based on 2D CNNs and transformers, and uses a sparse sampling strategy to enable efficient end-to-end video-and-language learning.
Solving reinforcement learning tasks which require language and vision
Multimodal Reinforcement Learning JAX implementations of the following multimodal reinforcement learning approaches. Dual-coding Episodic Memory from
Text vectorization tool to outperform TFIDF for classification tasks
WHAT: Supervised text vectorization tool Textvec is a text vectorization tool, with the aim to implement all the "classic" text vectorization NLP meth
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A Python library for audio feature extraction, classification, segmentation and applications This doc contains general info. Click here for the comple
A Python tool to automate some dorking stuff to find information disclosures.
WebDork v1.0.3 A open-source tool to find publicly available sensitive information about Companies/Organisations! WebDork A Python tool to automate so
Checkout some cool self-projects you can try your hands on to curb your boredom this December!
SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you
Text vectorization tool to outperform TFIDF for classification tasks
WHAT: Supervised text vectorization tool Textvec is a text vectorization tool, with the aim to implement all the "classic" text vectorization NLP meth
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Distributed Task Queue (development branch)
Version: 5.0.5 (singularity) Web: http://celeryproject.org/ Download: https://pypi.org/project/celery/ Source: https://github.com/celery/celery/ Keywo
a flask profiler which watches endpoint calls and tries to make some analysis.
Flask-profiler version: 1.8 Flask-profiler measures endpoints defined in your flask application; and provides you fine-grained report through a web in
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation
Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks
NERDA Not only is NERDA a mesmerizing muppet-like character. NERDA is also a python package, that offers a slick easy-to-use interface for fine-tuning
Slack-DynamDB-Some applications
slack-event-subscriptions About The Project Do you want to get simple attendance checks? If you are using Slack, participants can just react on a spec
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Get some python in google cloud functions
[NOTE]: This is a highly experimental (and proof of concept) library so do not expect all python packages to work flawlessly. Also, cloud functions ar
Simple job queues for Python
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is desi
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
ggfortify This package offers fortify and autoplot functions to allow automatic ggplot2 to visualize statistical result of popular R packages. Check o
An open source machine learning library for performing regression tasks using RVM technique.
Introduction neonrvm is an open source machine learning library for performing regression tasks using RVM technique. It is written in C programming la
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A Python library for audio feature extraction, classification, segmentation and applications This doc contains general info. Click here for the comple