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Github Wrapper is a software project for accessing, managing, or playing streamed media.
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Wrapper is a code project with source, releases, documentation, or setup notes.
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API Wrapper is a code project with source, releases, documentation, or setup notes.
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Python Wrapper is a code project with source, releases, documentation, or setup notes.
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) - A Flutter wrapper for Amber (Offline Signer).
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Syncthing-Fork is an Android wrapper of Syncthing, derived from the syncthing/syncthing-android project. It is licensed under MPLv2, with builds available from the releases section or F-Droid. The project points to a wiki and knowledge base and notes a path for switching from the deprecated official version.
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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.
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apt-fast is an open-source shell script wrapper for the apt package manager, designed to accelerate the download speed of software packages on Debian-based Linux distributions. The project is hosted on GitHub and includes installation instructions for Ubuntu, Debian, and their derivatives.
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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.
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An unofficial .Net wrapper for the Discord API (https://discord.com/)
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An API wrapper for Discord written in Python.
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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.
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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.
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High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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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.
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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.
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Java wrapper for the popular chat & VOIP service: Discord https://discord.com
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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.
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Python wrapper for the Mastodon API.
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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.
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A Python wrapper for the Discord API forked from discord.py
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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.
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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.