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Published directory entries matching your search.
Emgu CV is a cross-platform .NET wrapper to the OpenCV image processing library, allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, and can run on Windows, Linux, Mac OS, iOS and Android. Releases are available on GitHub and NuGet.
List of wrappers for accessing ChatGPT in platform such as Discord, Telegram, and languages such as Python, JS.
ANEE is an experimental dynamic inference wrapper for pretrained Transformer language models, currently GPT-2. It exposes an energy_budget and performs early exit inside the model's forward pass rather than always running all layers. It adds per-token adaptive computation using a profiler and learned controller to skip redundant layers while keeping the KV-cache aligned.
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
Entroly is a tool designed to reduce AI context costs. It performs reversible, byte-exact recoverable context reductions that include auditable receipts, operates in a local-first manner, and is compatible with proxy, MCP, SDK, and agent wrapper integrations.
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Highcharter is an R wrapper for the Highcharts JavaScript charting library and its modules, delivered through an htmlwidget. The hchart(x) function charts data frames, vectors, ts, xts, forecast and survfit objects. It supports Highstock candlestick charts, Highmaps choropleth charts, themes, and plugins. Highcharts offers a commercial license and a free non-commercial license; the package does not provide a Highcharts license.
Hyperas is a wrapper that combines Keras model definition with Hyperopt hyperparameter optimization. Users define models as usual and wrap parameters in double curly brackets with a chosen distribution. It is installed via pip and runs optimization using algorithms such as TPE with a set number of evaluation runs.
Hypertunity is a lightweight, high-level Python library for black-box hyperparameter optimisation. It supports Bayesian optimisation by wrapping GPyOpt, objective function evaluation through a scheduler that is also compatible with Slurm, and real-time visualisation of results in Tensorboard via the HParams plugin. A Trial wrapper class allows parallel optimisation without manual scheduling, optimiser updates and logging.
A Clojure wrapper for deeplearning4j with added syntactic sugar, aiming to provide a declarative API for machine learning on the JVM. It translates Clojure keywords into Java method calls, making many deeplearning4j configuration options accessible. The project is a work in progress, and configurations have been tested on basic feedforward nets, RNNs and CNNs.
MEKA is an open source implementation of methods for multi-label learning and evaluation, based on the WEKA Machine Learning Toolkit. It includes dozens of multi-label methods from the scientific literature and a wrapper to the MULAN framework. The project is distributed via SourceForge, with code hosted on GitHub.
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.
Pastalog is a realtime visualization server for neural network training performance. It works with Lasagne, Keras, Tensorflow, Torch, Theano and other frameworks. Data can be logged through a Python API, a Torch wrapper, or POST requests, and logged metrics update in real time at localhost.
Perfect TensorFlow is an experimental wrapper of the TensorFlow C API that enables machine learning in server-side Swift. It builds with Swift Package Manager and can be used as part of the Perfect project or as an independent module. The framework conforms to TensorFlow v1.8.0 C API functionality.
PyDexter is a Python wrapper for D3xter that renders charts in the browser using simple Python syntax. It supports histogram, scatter, plot, pie, timeline and bar chart examples. Installation is done with pip install PyDexter, and charts can be configured with settings such as height, width and title.
pytessarct is a Python wrapper for the Google Tesseract optical character recognition tool, hosted as a public repository on GitHub. It enables developers to incorporate Tesseract's text recognition capabilities into Python projects.
A Python wrapper around the ZPar statistical natural language parser, providing a ctypes-based interface and an XML-RPC ZPar server for batch processing. It works only with English ZPar models and supports 64-bit Linux and OS X. The repository was archived on Sep 13, 2022 and is read-only; the project is no longer under active development.
The lightweight PyTorch wrapper for high-performance AI research.
Rosetta is an open-source data science toolset hosted in the columbia-applied-data-science GitHub repository. It provides tools, wrappers and other utilities for data science workflows, with a specific focus on text processing.
ruby-plot is a Ruby wrapper around gnuplot, especially for plotting ROC curves into SVG files. It requires gnuplot to be installed and has had no release in over three years.
tensorlm is an open-source wrapper library for text generation and language model use cases. It supports character and word level recurrent neural network (RNN) implementations built on TensorFlow, and includes installation guidance, basic and advanced usage documentation, and command line usage instructions.
