Maze Applied Reinforcement Learning Framework
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Current version of the SuperLearner R package
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
- ai-agents
- mathematics
- neuro-symbolic
- reasoning
🔐 A detailed example for how to encrypt data in an Elixir (Phoenix v1.7) App before inserting into a database using Ecto Types
- learn
- elixir
- phoenix
- encryption
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
Translated12306 captcha recognition based on deep learning
- 12306
- captcha
- recognizer
- deep-learning
An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning
- art
- awesome
- awesome-list
- engineering
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
So, you just learned that there are problems in the tech industry. What now?
Ruby language bindings for LIBSVM
- libsvm
- ruby-bindings
- ruby
- ruby-language-bindings
Bayesian Optimization using GPflow
- gpflow
- bayesian-optimization
- machine-learning
- hyperparameter-optimization
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
- imaging
- ai
- cloud-computing
- medical-imaging
The PASS dataset: pretrained models and how to get the data
- computer-vision
- self-supervised-learning
- representation-learning
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
🚂✋📖 - Learn the choo framework through a set of exercises
- choo
- workshop
- tutorial
- handbook
Pytorch framework for doing deep learning on point clouds.
JavaScript ES(6|2015) generators workshopper. Learn in practice. :metal:
- workshop
- nodeschool
- generators
- tutorial
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
- outlier-detection
One API for every LLM: 170+ providers through one client, with a Rust core and native bindings for every major language.
An import picker that learns from your codebase
- dependencies
- lua
- neovim
- neovim-lua
Things we learned from Capture The Flag hacking competitions we participated in.
- hacking-competitions
- ctf-writeups
- ctf
- challenges