Machine Learning
Showing 36 of 1845 projects
A pure Go toolkit for data engineering and classic machine learning with zero external dependencies.
A Python implementation of the clugen algorithm for generating multidimensional clusters with arbitrary distributions.
A ROS2 template node for running PyTorch C++ models with CUDA support in a Docker environment.
A Julia package for regularized linear and quadratic discriminant analysis (LDA/QDA) classification.
Deploy machine learning prediction servers on AWS Lambda using Zappa for serverless inference.
A TensorFlow implementation of Dynamic Capacity Networks, which reduces computations by applying high-capacity networks to selected input patches.
A Rust crate providing embeddings and positional encoding implementations for NLP and Transformer-based models.
Generate word embedding vectors from text files using the Swivel algorithm on IBM Watson Machine Learning.
Creates fake file systems for honeypots using LLMs to generate realistic lures and configurations for threat engagement.
A curated list of Spanish-speaking YouTubers who create educational content about technology and programming.
A Julia package implementing Decision Tree (CART) and Random Forest algorithms for classification and regression tasks.
A JavaScript-native machine learning framework with PyTorch-aligned APIs, built from scratch on WebGPU for dynamic graph execution and model interpretability.
A Go library for building and training deep neural networks, powered by MXNet.
An autograd and GPGPU library for building dynamic neural networks in the D programming language.
A simple implementation of Multinomial Naive Bayes classification in Julia.
Raku bindings for libsvm, providing support vector machine algorithms for classification, regression, and outlier detection.
Code for the Best Buy competition at Kaggle, focusing on mobile contest big data analysis.
Automates AWS EMR cluster deployment and Spark job submission with integrated logging and PySparkling support for H2O.
A Julia implementation of the clugen algorithm for generating multidimensional clusters with arbitrary distributions.
Lua bindings for the OpenGM C++ library, enabling graphical model description and optimization from Lua scripts.
An Elixir wrapper for the OpenAI API, enabling interaction with AI models for text, image, and audio tasks.
An extensible ELF64 packer for Linux x86_64 and AArch64, featuring 22 compression codecs, EXE filters, and ML-driven codec selection.
A VS Code extension for viewing large datasets (JSONL/Parquet/CSV) instantly without crashes, with 16 production LLM tokenizers for accurate token counting.
A simple interface for converting ROOT nTuples to NumPy arrays and using them in TensorFlow for neural network training.
A monadic implementation of fully-connected neural networks in OCaml with backpropagation and customizable hyperparameters.
A simple Java library implementing the K-Nearest Neighbor algorithm for supervised learning with multiple similarity metrics.
A VS Code extension to view and compare Weights & Biases training runs directly in the editor with interactive charts and AI context export.
A small dataset for the Best Buy mobile contest on Kaggle, containing product information and search queries.
Store, version, edit, and execute Jupyter notebooks via REST APIs for integration into data pipelines.
A JavaScript neural network example that learns to predict angles between two points using synaptic.js.
A JavaScript neural network example that learns to predict whether a beer glass is half full or half empty based on user decisions.
A complete neural network solution for handwritten digit recognition, built with Ruby and featuring a web interface.
TensorFlow implementation of Single Image Random Dot Stereograms for 3D data visualization in 2D images.
A distributed image classification service that runs neural network training and prediction tasks on the Golem Network using Yapapi.
A TypeScript library providing text vectorization, image processing, and ML metrics utilities for machine learning workflows.
A fast Single Layer Perceptron library for Deno, written in Rust and TypeScript with Foreign Function Interface (FFI).
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