Machine Learning
Showing 36 of 1845 projects
Classify images offline on iOS using Watson Visual Recognition trained models and Apple's Core ML framework.
A Python library for fast, reproducible, and modular Neural Architecture Search (NAS) to generate efficient deep networks.
A Python library for extracting a wide range of audio spectral features from mono audio files using efficient algorithms.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
An extensible Rust framework for backend-agnostic, high-performance parallel computations on CUDA, OpenCL, and CPU.
A pure Go library for making predictions with Gradient Boosting Regression Trees models from LightGBM, XGBoost, and scikit-learn.
A reinforcement learning framework for portfolio management that learns optimal trading strategies through online training.
A universal code formatter that uses machine learning to learn formatting patterns from a corpus of existing code.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Lightweight Python library for evaluating classification model robustness across out-of-distribution generalization, stability, and uncertainty metrics.
A Go library implementing selected machine learning algorithms for natural language processing and semantic analysis.
Code repository for the second edition of Mastering Python for Finance, implementing advanced financial statistical applications using Python.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
A parallel deep learning framework written in modern Fortran for training and inference of dense, convolutional, and transformer networks.
An open-source machine learning solution for the Home Credit Default Risk Kaggle competition, providing reproducible code and experiments.
A fast Clojure library for tensor operations and deep learning with optimized CPU/GPU support.
A JavaScript library and workspace for building and experimenting with dynamic neural network architectures.
A JavaScript library and workspace for building and experimenting with dynamic neural network architectures.
A lightweight C++ machine learning library designed for embedded electronics and robotics applications.
An Android example project demonstrating TensorFlow integration for handwritten digit recognition using the MNIST dataset.
An open-source toolkit for scalable, standardized computational pathology analysis, enabling AI and machine learning on large imaging datasets.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.
A toolkit that streamlines and automates the generation of model cards for machine learning models.
A comprehensive benchmark suite for evaluating protein fitness prediction models using deep mutational scanning and clinical variant data.
Python implementation of the RuleFit algorithm for interpretable machine learning predictions using rule ensembles.
OCaml bindings for PyTorch, providing NumPy-like tensor computations with GPU acceleration and automatic differentiation.
An image processing library built on JAX, designed to be optimized and parallelized with JAX transformations.
A toolkit for developing and deploying TensorFlow Lite models on mobile and IoT devices with cross-platform support.
An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.
A medical text mining and information extraction framework built on spaCy for rapid prototyping and training of predictive NLP models.
A comprehensive Jupyter notebook tutorial covering computer vision and machine learning basics using OpenCV and Keras in Python.
Image quality is an open source software library for Image Quality Assessment (IQA).
Annotated notes and summaries of the TensorFlow white paper, with SVG figures and links to documentation.
A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.
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