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github.com

PiVPN is the simplest VPN installer designed for Raspberry Pi. It is an open-source project available on GitHub under the pivpn/pivpn repository. The project provides an easy method to set up a VPN on a Raspberry Pi device.

Linux & macOS Software 0

PyStanfordDependencies is a Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Dependencies. It offers a get_instance() function with subprocess or jpype backends, and convert_tree() or convert_trees() methods returning Token objects. Visualization options include asciitree, Graphviz dotgraphs, and interactive xdot windows. A Stanford CoreNLP or Parser jar file can be supplied, or downloaded automatically.

Models & Machine Learning 0

PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.

AI Education & Learning 0
github.com

PyVarInf is a Python package that facilitates the use of Bayesian deep learning methods with variational inference for PyTorch, providing facilities to train PyTorch neural network models using variational inference. It approximates the posterior distribution over network weights with a parametric distribution.

Models & Machine Learning 0
github.com

Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.

AI Data & Analytics 0
github.com

Superpowers is an agentic skills framework and software development methodology for coding agents. It prompts the agent to clarify a specification, shows the design in chunks for sign-off, then builds an implementation plan emphasizing red/green TDD, YAGNI, and DRY. A subagent-driven-development process has agents work through engineering tasks and review their work. Skills trigger automatically.

AI Agents & Automation 0
github.com

TextCL is a text preprocessing package intended for cleaning text data before use in natural language processing tasks. It can be an initial step in text analysis and in predictive, classification, or text generation models. Documented preprocessing tasks include splitting texts into sentences, filtering by language, perplexity filtering, duplicate sentence filtering using Jaccard similarity, and unsupervised outlier detection with methods such as TONMF, RPCA, and SVD.

Models & Machine Learning 0
github.com

TPOT (Tree-based Pipeline Optimization Tool) is a Python automated machine learning tool that optimizes machine learning pipelines using genetic programming. The project underwent a major refactoring, merging what was once called TPOT2 into the main package, with new features including genetic feature selection, multi-objective optimization and an expanded method of defining search spaces.

Models & Machine Learning 0
github.com

Twitter Text Java is the Java implementation of the twitter-text parsing library. It provides methods and classes to parse Tweets, calculate length, check validity, and parse @mentions, #hashtags, and URLs. Artifacts are published to Maven Central.

Models & Machine Learning 0
github.com

Umi-OCR is free, open-source offline OCR software for Windows 7 x64 and above. It supports screenshot capture and batch image import, PDF document recognition, and scanning or generating QR codes. It runs offline without a network connection and offers command-line and HTTP API calling methods.

OCR & Document Tools 0
github.com

Unsloth is a desktop application for running and training LLMs and diffusion models locally. It supports model formats including GGUF and MLX, and offers fine-tuning methods such as LoRA, QLoRA, full fine tuning and reinforcement learning, along with dataset building and model export. Native builds are offered for Windows, macOS and Linux, with additional installation options.

Models & Machine Learning 0
github.com

You Don't Need GUI is a list of common computing tasks, such as copying files, moving directories, zipping archives and checking disk usage, presented with command-line equivalents instead of graphical methods. The readme notes graphical interfaces can require more resources and be harder to automate via scripting. A Chinese translation is provided.

Linux & macOS Software 0