Splits long arrays into batches of a specified size.
Transform a string between `camelCase`, `PascalCase`, `Capital Case`, `snake_case`, `kebab-case`, `CONSTANT_CASE` and others
Turn a readable stream into multiple readable streamx streams
No description provided.
Easy way to split a string on a given character unless it's quoted or escaped.
Split a string on the first occurance of a given separator
Sentry Internal Tracing Package
split a Text Stream into a Line Stream, using Stream 3
Simple module to split a single certificate authority chain file (aka: bundle, ca-bundle, ca-chain, etc.) into an array, as expected by the node.js tls api.
Split email messages into an object stream
split a Text Stream into a Line Stream
RPC decorator that chunks getAccounts requests into batches
Split lines into an array of lines
Manipulate strings according to the word parsing rules of the UNIX Bourne shell.
Common functions for working with Iconify icon sets used by various packages.
Split a LineString by another GeoJSON Feature.
Chop a single stream of data into a series of readable streams
Splits a String into an Array of substrings with the option to skip some cases where the separator is found, based on some truthy condition.
Split Cypress specs across parallel CI machines for speed
Split string by any separator excluding brackets, quotes and escaped characters
Encode and decode quoted printable and base64 strings
Lightweight, beautiful and user-friendly prompts
A javascript library that splits plain text into individual lines, words, and characters.
React split-pane component with hooks and TypeScript
Allows you to split your dataset in batches
Retrieve book, chart, company, delayed quote, dividends, earnings, effective spread, financials, stats, lists, logo, news, OHLC, open/close, peers, previous, price, quote, relevant, splits, timeseries, volume by venue and batch requests through IEX (iextrading.com/developer)
DataParallel and distributed training utilities for torch.rb. Split batches across multiple GPUs automatically.
BigSitemap is a Sitemapgenerator suitable for applications with greater than 50,000 URLs. It splits large Sitemaps into multiple files, gzips the files to minimize bandwidth usage, batches database queries to minimize memory usage, supports increment updates, can be set up with just a few lines of code and is compatible with just about any framework.
BigSitemap is a Sitemapgenerator suitable for applications with greater than 50,000 URLs. It splits large Sitemaps into multiple files, gzips the files to minimize bandwidth usage, batches database queries to minimize memory usage, supports increment updates, can be set up with just a few lines of code and is compatible with just about any framework.
GRYDRA v2.0 is a complete, modular Ruby library for building, training, and deploying neural networks. NEW in v2.0: - Complete modular architecture with 29 organized files - Keyword arguments API for better readability - Full implementations (no more "simplified" versions) - 8 loss functions (MSE, MAE, Huber, Cross-Entropy, Hinge, Log-Cosh, Quantile) - 5 optimizers (Adam, SGD, RMSprop, AdaGrad, AdamW) - 6 training callbacks (EarlyStopping, LearningRateScheduler, ReduceLROnPlateau, ModelCheckpoint, CSVLogger, ProgressBar) - Complete LSTM implementation with backpropagation - Complete 2D Convolutional layer with padding and stride - Real PCA with eigenvalue decomposition using Power Iteration - Multiple activation functions (Tanh, ReLU, Leaky ReLU, Sigmoid, Swish, GELU, Softmax) - Regularization (Dropout, L1, L2) - Weight initialization (Xavier, He) - Data normalization (Z-Score, Min-Max) - Comprehensive metrics (MSE, MAE, Accuracy, Precision, Recall, F1, Confusion Matrix, AUC-ROC) - Advanced training (mini-batch, early stopping, learning rate decay, validation split) - Cross-validation and hyperparameter search - Text processing (vocabulary, binary vectorization, TF-IDF) - Model persistence (save/load with Marshal) - Network visualization and gradient analysis - Simplified EasyNetwork interface - 100% backward compatibility with v1.x Perfect for machine learning projects, research, and education in Ruby.