Higher order iterator library for JavaScript/TypeScript.
The iterable toolbox
No description provided.
Split a string on the first occurance of a given separator
Easy way to split a string on a given character unless it's quoted or escaped.
Transform a string between `camelCase`, `PascalCase`, `Capital Case`, `snake_case`, `kebab-case`, `CONSTANT_CASE` and others
Fun with Iterables
split a Text Stream into a Line Stream, using Stream 3
The iterable toolbox
split a Text Stream into a Line Stream
Split a LineString by another GeoJSON Feature.
Split Cypress specs across parallel CI machines for speed
Split string by any separator excluding brackets, quotes and escaped characters
Basic operations on iterables
A streaming data transport format that aims to support built-in features such as Promises, Dates, RegExps, Maps, Sets and more.
Split JavaScript SDK common components
React component for Split.js
Core types for paging async iterable iterators
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.
React split-pane component with hooks and TypeScript
React split-pane component
Standard iterator utilities.
TypeScript definitions for split2
Transforming XML to JSON using Node.js binding to native pugixml parser library
Split a number of data in pages and iterate through them, keeping track in a log file
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.
Send SMS messages using the CellForce API
No description provided.
No description provided.
No description provided.