10315 Repositories
Python algorithms-and-data-structures Libraries
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje
Notebooks, slides and dataset of the CorrelAid Machine Learning Winter School
CorrelAid Machine Learning Winter School Welcome to the CorrelAid ML Winter School! Task The problem we want to solve is to classify trees in Roosevel
Computer Vision Paper Reviews with Key Summary of paper, End to End Code Practice and Jupyter Notebook converted papers
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 The repository provides 100+ Pap
CMSC320 - Introduction to Data Science - Fall 2021
CMSC320 - Introduction to Data Science - Fall 2021 Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine
LSHTM_RCS This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collabo
Data Engineering ZoomCamp
Data Engineering ZoomCamp I'm partaking in a Data Engineering Bootcamp / Zoomcamp and will be tracking my progress here. I can't promise these notes w
commandline version of wordle game and my auto solver.
Wordle Machine (and Wordle Game) (in commandline) My implementation of the Wordle game (inspired by https://www.powerlanguage.co.uk/wordle/) and my in
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Evolution Gym A large-scale benchmark for co-optimizing the design and control of soft robots. As seen in Evolution Gym: A Large-Scale Benchmark for E
Processed, version controlled history of Minecraft's generated data and assets
mcmeta Processed, version controlled history of Minecraft's generated data and assets Repository structure Each of the following branches has a commit
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =
A web app builds using streamlit API with python backend to analyze and pick insides from multiple data formats.
Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in
Plugin for Gaffer providing direct acess to asset from PolyHaven.com. Only HDRIs at the moment, Cycles and Arnold supported
GafferHaven Plugin for Gaffer providing direct acess to asset from PolyHaven.com. Only HDRIs are supported at the moment, in Cycles and Arnold lights.
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
SPLADE 🍴 + 🥄 = 🔎 This repository contains the weights for four models as well as the code for running inference for our two papers: [v1]: SPLADE: S
Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
NANSY: Unofficial Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations Notice Papers' D
TIANCHI Purchase Redemption Forecast Challenge
TIANCHI Purchase Redemption Forecast Challenge
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
RobustVideoMatting and background composing in one model by using onnxruntime.
RVM_onnx_compose RobustVideoMatting and background composing in one model by using onnxruntime. Usage pip install -r requirements.txt python infer_cam
⌚️Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with Internet Time 😉
Internet-Ti.me Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with
WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary
WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia
A simple portable USB MIDI controller based on Raspberry-PI Pico and a 16-button keypad, written in Circuit Python
RPI-Pico-16-BTn-MIDI-Controller-using-CircuitPython A simple portable USB MIDI controller based on Raspberry-PI Pico, written in Circuit Python. Link
Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡
csrf-starlette-fastapi Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡ Will work with either a input type="hidden" field or ajax
A simple multi-threaded time server and client in python.
time-server-client A simple multi-threaded time server and client in Python. This uses the latest match/case command found in Python 3.10 so requires
Standalone script written in Python 3 for generating Reverse Shell one liner snippets and handles the communication between target and client using custom Netcat binaries
Standalone script written in Python 3 for generating Reverse Shell one liner snippets and handles the communication between target and client using custom Netcat binaries. It automates the boring stuff like URL encoding the command and setting up a listener.
Import some key/value data to Prometheus custom-built Node Exporter in Python
About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning 📄 https://arxiv.org/abs/2007.13518 News 2021-02-01 (Award): #NeurIPS 2020# Fed
Rock API is an API that allows you to view rocks and find the ratings on them
Rock API The best Rock API What is Rock API? Rock API is an API that allows you to view rocks and find the ratings on them. However, this isn't a regu
The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch Railway
Openspoor The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch
An Unofficial API for 1337x, Piratebay, Nyaasi, Torlock, Torrent Galaxy, Zooqle, Kickass, Bitsearch, and MagnetDL
An Unofficial API for 1337x, Piratebay, Nyaasi, Torlock, Torrent Galaxy, Zooqle, Kickass, Bitsearch, and MagnetDL
fastapi-admin2 is an upgraded fastapi-admin, that supports ORM dialects, true Dependency Injection and extendability
FastAPI2 Admin Introduction fastapi-admin2 is an upgraded fastapi-admin, that supports ORM dialects, true Dependency Injection and extendability. Now
The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank
Main Idea The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank Semantic Search Re
Machine Learning e Data Science com Python
Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin
Clean and reusable data-sciency notebooks.
KPACUBO KPACUBO is a set Jupyter notebooks focused on the best practices in both software development and data science, namely, code reuse, explicit d
Debugging with Stack Overflow: Web Search Behavior in Novice and Expert Programmers
Debugging with Stack Overflow: ICSE SEET, 2022 This is the GitHub repository associated with the 2022 ICSE SEET paper, Debugging with Stack Overflow:
This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened
ae_attendances_modelling This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Pr
2 telegram-bots: for image recognition and for text generation
💻 📱 Telegram_Bots 🔎 & 📖 2 telegram-bots: for image recognition and for text generation. About Image recognition bot: User sends a photo and bot de
Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive losses
Self-supervised learning Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive loss
A very simple calculator with a modern UI made in Python thanks for the stunning Sun-Valley-ttk-theme and Segoe UI Variable font.
Fluent-Python-Calculator A simple Python calculator with Sun-Valley-ttk-theme About Fluent-Python-Calculator: A very simple calculator with a modern U
Spotify Top Lists - get the current top lists of a user from the Spotify API and display them in a Flask app
Spotify Top Lists This is a simple script that will get the current top lists of a user from the Spotify API and display them in a Flask app. Requirem
Fibonacci Method Gradient Descent
An implementation of the Fibonacci method for gradient descent, featuring a TKinter GUI for inputting the function / parameters to be examined and a matplotlib plot of the function and results.
Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods
Computational Fluid Dynamics in Python Using NumPy to solve the equations of fluid mechanics 🌊 🌊 🌊 together with Finite Differences, explicit time
Minimal Python client for the Iris API, built on top of Authlib and httpx.
🕸️ Iris Python Client Minimal Python client for the Iris API, built on top of Authlib and httpx. Installation pip install dioptra-iris-client Usage f
follow-analyzer helps GitHub users analyze their following and followers relationship
follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta
FramIp - it a framework for work at IP and domain
FramIp FramIp - it a framework for work with IP and domain Installation (termux) $ pkg install git && pkg install python && git clone https://github.c
FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python
☑️ FAIR Enough metrics for research FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python, conforming to the specifications
PyTorch framework, for reproducing experiments from the paper Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. Code, based on the PyTorch framework, for reprodu
TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How TensorFlow implementation for Bayesian Modeling and Unce
This repository contains a toolkit for collecting, labeling and tracking object keypoints
This repository contains a toolkit for collecting, labeling and tracking object keypoints. Object keypoints are semantic points in an object's coordinate frame.
This repository contains code to run experiments in the paper "Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers."
Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers This repository contains code to run experiments in the paper "Signal Stre
NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models
NaturalCC NaturalCC is a sequence modeling toolkit that allows researchers and developers to train custom models for many software engineering tasks,
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages
NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages. This project was supported by lacuna-fund initiatives. Jump straight to one of the sections below, or just scroll down to find out more.
Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges for the practitioner
Sparse network learning with snlpy Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
Geometric Interpretation of Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Sqrt Root Geometric Interpretation of Matrix Square Root and Inverse Square Root This repository constains the official Pyt
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations This is the repository for the paper Consumer Fairness in Recomm
For encoding a text longer than 512 tokens, for example 800. Set max_pos to 800 during both preprocessing and training.
LongScientificFormer For encoding a text longer than 512 tokens, for example 800. Set max_pos to 800 during both preprocessing and training. Some code
PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n
Good Classification Measures and How to Find Them
Good Classification Measures and How to Find Them This repository contains supplementary materials for the paper "Good Classification Measures and How
The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure
miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish
This repository contains the scripts for downloading and validating scripts for the documents
HC4: HLTCOE CLIR Common-Crawl Collection This repository contains the scripts for downloading and validating scripts for the documents. Document ids,
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN Which Style Makes Me Attractive? Interpretable Control Discovery an
PaRT: Parallel Learning for Robust and Transparent AI
PaRT: Parallel Learning for Robust and Transparent AI This repository contains the code for PaRT, an algorithm for training a base network on multiple
Framework for training options with different attention mechanism and using them to solve downstream tasks.
Using Attention in HRL Framework for training options with different attention mechanism and using them to solve downstream tasks. Requirements GPU re
Author Disambiguation using Knowledge Graph Embeddings with Literals
Author Name Disambiguation with Knowledge Graph Embeddings using Literals This is the repository for the master thesis project on Knowledge Graph Embe
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Pearl The Parallel Evolutionary and Reinforcement Learning Library (Pearl) is a pytorch based package with the goal of being excellent for rapid proto
coldcuts is an R package to automatically generate and plot segmentation drawings in R
coldcuts coldcuts is an R package that allows you to draw and plot automatically segmentations from 3D voxel arrays. The name is inspired by one of It
PCGNN - Procedural Content Generation with NEAT and Novelty
PCGNN - Procedural Content Generation with NEAT and Novelty Generation Approach — Metrics — Paper — Poster — Examples PCGNN - Procedural Content Gener
DGL-TreeSearch and the Gurobi-MWIS interface
Independent Set Benchmarking Suite This repository contains the code for our maximum independent set benchmarking suite as well as our implementations
Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it.
MFD-ILP Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it. The solvers are implemented using Pytho
Check out the StyleGAN repo and place it in the same directory hierarchy as the present repo
Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani Most commands are in run_scripts. W
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor
Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project
Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model
Novel and high-performance medical image classification pipelines are heavily utilizing ensemble learning strategies
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Novel and high-performance medical ima
Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"
Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data
This repository is for Contrastive Embedding Distribution Refinement and Entropy-Aware Attention Network (CEDR)
CEDR This repository is for Contrastive Embedding Distribution Refinement and Entropy-Aware Attention Network (CEDR) introduced in the following paper
Hyperparameters tuning and features selection are two common steps in every machine learning pipeline.
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
Labelme is a graphical image annotation tool, It is written in Python and uses Qt for its graphical interface
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Galaxy images labelled by morphology (shape). Aimed at ML development and teaching
Galaxy images labelled by morphology (shape). Aimed at ML debugging and teaching.
A classification model capable of accurately predicting the price of secondhand cars
The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!
A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret
This model involves Insurance bill prediction, which was subsequently deployed on Heroku PaaS
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.
eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c
An NVDA add-on to split screen reader and audio from other programs to different sound channels
An NVDA add-on to split screen reader and audio from other programs to different sound channels (add-on idea credit: Tony Malykh)
Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data
Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning
Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:
This repository compare a selfie with images from identity documents and response if the selfie match.
aws-rekognition-facecompare This repository compare a selfie with images from identity documents and response if the selfie match. This code was made
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻♂️
This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.
Final Project for Practical Python Programming and Algorithms for Data Analysis
Final Project for Practical Python Programming and Algorithms for Data Analysis (PHW2781L, Summer 2020) Redlining, Race-Exclusive Deed Restriction Lan
This is a python implementation of wordle, which uses the same set of available words as the hit game, Wordle
Wordle Game This is a python implementation of wordle, which uses the same set of available words as the hit game, Wordle. Play the game manually pyth
This tool is created by Shahzain and is one of the best self bots out there!
Shahzain SelfBot This tool is created by Shahzain and is one of the best self bots out there! Features Token Destroyer! Server Nuker(50-100 Bans Per S
Reproducibility and Replicability of Web Measurement Studies
Reproducibility and Replicability of Web Measurement Studies This repository holds additional material to the paper "Reproducibility and Replicability
ECAENet (TensorFlow and Keras)
ECAENet: EfficientNet with Efficient Channel Attention for Plant Species Recognition (SCI:Q3) (Journal of Intelligent & Fuzzy Systems)
Fetch fund data from avanza.se using Python and some web scraping with bs4
Py(A)vanza Fetch fund data from avanza.se using Python and some web scraping with bs4. The default way is to display the data in the terminal, apply -
EasyRequests is a minimalistic HTTP-Request Library that wraps aiohttp and asyncio in a small package that allows for sequential, parallel or even single requests
EasyRequests EasyRequests is a minimalistic HTTP-Request Library that wraps aiohttp and asyncio in a small package that allows for sequential, paralle
A CRUD and REST api with mongodb atlas.
Movies_api A CRUD and REST api with mongodb atlas. Setup First import all the python dependencies in your virtual environment or globally by the follo
In this repo we reproduce and extend results of Learning in High Dimension Always Amounts to Extrapolation by Balestriero et al. 2021
In this repo we reproduce and extend results of Learning in High Dimension Always Amounts to Extrapolation by Balestriero et al. 2021. Balestriero et
The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory
Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of
Scripts to integrate DFIR-IRIS, MISP and TimeSketch
Scripts to integrate DFIR-IRIS, MISP and TimeSketch
Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included.
open(LARGE) Storing, versioning, and downloading files from S3 made as easy as using open() in Python. Caching included. Motivation Oftentimes, especi
This projects provides the documentation and the automation(code) for the Oracle EMEA WLA COA Demo UseCase.
COA DevOps Training UseCase This projects provides the documentation and the automation(code) for the Oracle EMEA WLA COA Demo UseCase. Demo environme