A TypeScript-based rate limiter queue for managing API requests. It queues requests and processes them according to a specified rate limit, with features for error handling and batch processing. Perfect for controlling API request frequency seamlessly.
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
Efficient batch processing for node.js and browsers
FastDynamicBatcher is a library for batching inputs across requests to accelerate machine learning workloads
JFleet persist to database large collections of Java POJOs using alternate persistence methods from JDBC
Implementations of methods for online (sequential) multiple hypothesis testing.
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
Batching and rate-limiting for go without any opinion of the datastore.
An implementation of a new approach in DEX. It combines the Lightning Network (state channels) and batching mechanisms to increase speed and throughput while reducing the gas usage of the exchange.
A simple front-end service that demonstrates the interaction flow of the ArgoX-Implementation repository (https://github.com/NguyenHiu/ArgoX-Implementation).
Batching and parallelization helpers for C#/.NET
🏭 Liferay DXP / 7 Dummy data generation portlet
Batch processing library for Golang.
Practice using and preparing datasets for training from Hugging Face
Reliable batches with ease.
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