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Bread Dataset Viewer is a VS Code extension for viewing and handling large datasets. It opens JSONL, Parquet, CSV, TSV, JSON, and Arrow/Feather files by streaming and lazy-loading data, and provides Cards, Table, and Raw views. It includes 16 production LLM tokenizers from GPT, Claude, Llama, and Qwen for chat completion data.

Models & Machine Learning 0

A general classifier module to allow Bayesian and other types of classifications.

Models & Machine Learning 0
github.com

ChefBoost is a lightweight decision tree framework for Python. It supports standard algorithms including ID3, C4.5, CART, CHAID and regression trees, as well as advanced techniques such as gradient boosting, random forest and Adaboost, with support for categorical features.

Models & Machine Learning 0
github.com

GaussianProcesses.jl is a Julia package for Gaussian Processes that allows fitting exact Gaussian process models when observations are Gaussian distributed about the latent function. The main GP function fits Gaussian and non-Gaussian data, and parameters can be estimated by maximizing the log-likelihood or sampled with Hamiltonian Monte Carlo.

Models & Machine Learning 0
github.com

Hypernets is a general AutoML framework for building automatic optimization tools for machine learning frameworks and libraries, including tensorflow, keras, pytorch, sklearn, lightgbm and xgboost. It offers an abstract search space representation covering hyperparameter optimization and neural architecture search, with optimization algorithms such as evolution algorithm and Monte Carlo tree search.

Models & Machine Learning 0
github.com

Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.

Models & Machine Learning 0

Product Manager Skills is an open-source resource hosted on GitHub, created for use with AI coding tools including Claude Code, Codex, Cursor, and Windsurf. It provides support for product management tasks such as diagnosing SaaS metrics, critiquing product requirement documents, planning product roadmaps, running discovery work, and coaching product managers through career transitions.

Models & Machine Learning 0
github.com

WFGY is an open-source project focused on AI reasoning, retrieval-augmented generation, AI agents, and real-world workflows. It is developing the WFGY 5.0 Polaris Protocol, and currently includes components such as the Problem Map, Global Debug Card, 4.0 version, and CFV Easter Egg.

Models & Machine Learning 0