3,122 skills found · Page 7 of 105
rpp0 / Scapy FakeapFake wireless Access Point (AP) implementation using Python and Scapy, intended for convenient testing of 802.11 protocols and implementations.
multi-build / MultibuildMachinery for building and testing Python Wheels for Linux, OSX and (less flexibly) Windows.
MTSWebServices / AmbrosiaAmbrosia is a Python library for A/B tests design, split and result measurement
thumbtack / AbbaJavascript and Python libraries for A/B test analysis
simplistix / TestfixturesA collection of helpers and mock objects that are useful when writing automated tests in Python.
clach04 / Python TuyaPython interface to ESP8266MOD WiFi smart devices from Shenzhen Xenon. NOTE I'm not using any devices with this library so I can't test :-(
cube-drone / SillyA python library for producing fanciful test data.
tokenika / EosfactoryPython-based EOS smart-contract development & testing framework
gunesmes / Page Object Python SeleniumThis project shows how to apply page-object-pattern / model (POM) for Selenium by using Python and unittest. There are six test cases which are written against to sign-in page for amazon.com
rdebath / BrainfuckBrainfuck torture test. Brainfuck interpreters and compilers to C, V. VIM syntax file for brainf*ck. Fast JIT Assembly, JIT C running, Perl, Python, php, Ruby, lua, go, awk, neko, PS1, bash, ook, trollscript etc etc
owkin / FLambyCross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
Nhqvu2005 / Bot Auto CommitBot Auto Commit is a simple Python script that overwrites log.txt in a GitHub repo with a current timestamp and commits each update via the GitHub API. It reads a token from an env var or token.txt and can auto-detect the repo owner. Useful for testing CI, keeping repos active, or demonstrating API-based commits.
fuzzitdev / Pythonfuzzcoverage guided fuzz testing for python
heynemann / PyccuracyPyccuracy is a BDD-style Web Acceptance Testing framework in Python.
lobocv / PyperformAn easy and convienent way to performance test python code.
GoogleCloudPlatform / Terraform Python Testing HelperSimple Python test helper for Terraform.
beeware / CricketA GUI tool for running Python test suites.
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
mixedbread-ai / BaguetterBaguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter supports sparse (traditional), dense (semantic), and hybrid retrieval methods.
vapor-ware / KubetestKubernetes integration testing in Python via pytest
