High-performance Bayesian Data Analysis on the GPU in Clojure
- clojure
- bayesian-inference
- bayesian-data-analysis
- gpu-computing
Repository Index
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Model extraction attacks on Machine-Learning-as-a-Service platforms.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- machine-learning
- dialogue-systems
- dialogue-generation
- dialogues
A curated list of awesome Fairness in AI resources
- fairness
- machine-learning
- deep-learning
- gender-bias
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
👀 iOS11 demo application for age and gender classification of facial images.
- ios
- swift
- swift4
- vision
An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
Maze Applied Reinforcement Learning Framework
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
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
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
- outlier-detection
One API for every LLM: 170+ providers through one client, with a Rust core and native bindings for every major language.
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
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.
A curated list of resources for machine learning for small-molecule drug discovery
- awesome-list
- machine-learning
- cheminformatics
- drug-discovery
Python-based implementations of algorithms for learning on imbalanced data.
- data-science
- machine-learning
- imbalanced-data
- notre-dame
Materials for GWU DNSC 6279 and DNSC 6290.