Stars
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Jupyter notebooks for the Natural Language Processing with Transformers book
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Fit interpretable models. Explain blackbox machine learning.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Google Research
A one-stop repository for low-code easily-installable object detection pipelines.
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Top2Vec learns jointly embedded topic, document and word vectors.
Visualize and compare datasets, target values and associations, with one line of code.
Information extraction from English and German texts based on predicate logic
💬 Create regular expressions easily
Classify music genre from a 10 second sound stream using a Neural Network.
Audio Classifier in Keras using Convolutional Neural Network
Music auto-tagging models and trained weights in keras/theano
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way.
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
shiny-mlr: Integration of the mlr package into shiny
A MNIST-like fashion product database. Benchmark 👇
Computer Vision and Image Recognition algorithms for R users
Playing with various deep learning tools and network architectures