Repository Index

A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.

• nlp
• nlp-machine-learning
• polish-language
• datasets

The most comprehensive Hack The Box writeup collection - 500+ machines, 400+ challenges, interactive knowledge graph, skill trees, attack path diagrams, ProLabs, Sherlocks, OSCP/CPTS/CRTO prep. Browse: momenbasel.github.io/htb-writeups

• active-directory
• cheatsheet
• ctf
• cybersecurity

inVtero.net: A high speed (Gbps) Forensics, Memory integrity & assurance. Includes offensive & defensive memory capabilities. Find/Extract processes, hypervisors (including nested) in memory dumps using microarchitechture independent Virtual Machiene Introspection techniques

• forensics
• hypervisor
• memory-dump
• reverse-engineering

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

ModernAVPlayer is a persistence AVPlayer wrapper

• avplayer
• wrapper
• persistence
• swift

TranslatedCNN | Keras/PyTorch | CAPTCHA recognition

• captcha
• cnn-keras
• machine-learning
• pytorch-cnn

An inter-process and inter-machine lockfile utility that works on a local or network file system.

• lockfile
• atomic
• nodejs
• cross-process

Descriptor computation(chemistry) and (optional) storage for machine learning

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

• mlr3
• machine-learning
• book
• bookdown

Ruby language bindings for LIBSVM

• libsvm
• ruby-bindings
• ruby
• ruby-language-bindings

Bayesian Optimization using GPflow

• gpflow
• bayesian-optimization
• machine-learning
• hyperparameter-optimization

👷Build Swift Projects on a Remote Machine within Xcode.

Common Lisp Machine Learning Library

A C library for product recommendations/suggestions using collaborative filtering (CF)

• collaborative-filtering
• c
• machine-learning
• recommendation-engine

A curated list of awesome resources for adversarial examples in deep learning

• deep-learning
• security
• adversarial-examples
• machine-learning

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

• isolation-forest
• spark
• linkedin
• outlier-detection

The type-safe, event-driven workflow orchestration library that scales with your business. Build robust, distributed workflows in Go with compile-time safety, automatic retries, and horizontal scaling out of the box. Integrate with your existing tech stack using adapters 🚀

• eventdrivenarchitecture
• golang
• kafka
• reflex

One API for every LLM: 170+ providers through one client, with a Rust core and native bindings for every major language.

• anthropic
• api-client
• llm
• machine-learning

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

• machine-learning
• python
• evolutionary-algorithms
• genetic-algorithm

Powerful Powerful Machine Learning library with GPU, CPU and WASM backends

• deno
• webgpu
• neural-network
• ai

Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker

Create adversarial attacks against machine learning Windows malware detectors

• adversarial-machine-learning
• infosec
• python
• attack

Awesome list of software that I use to do research in medical imaging.

• medical-imaging
• image-processing
• computer-vision
• machine-learning

Efficient asynchronous and synchronous state machines for .NET

• state-machine
• async
• c-sharp