Showing 1-14 of 14 projects
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
A CLI tool to run multiple npm-scripts in parallel or sequential for Node.js developers.
A unified, comprehensive and efficient recommendation library for building recommendation systems.
A powerful tool for attribute-conditioned exploration of StyleGAN-generated images using Conditional Continuous Normalizing Flows.
LogDevice is a distributed storage system for sequential data, suitable for high-throughput, low-latency applications.
A repository hosting code for a state-of-the-art generative recommender system for AI-powered developer tools.
A powerful benchmark for Monte Carlo Tree Search in sequential decision-making scenarios.
A customizable no-code component for building flow-based programming applications or workflow automation.
A Python library that breaks the sequential dependency of LLM inference using lookahead decoding for faster AI model inference.
Optimizes numerical and discrete search spaces with various gradient-free optimization techniques.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation using PyTorch.
ABC is a system for sequential logic synthesis and formal verification, not a vibe coder tool.
A next-generation recommendation system library for building AI-powered content discovery platforms.
A lightweight Java library for generating and decoding short, unique, non-sequential hashes from numbers.
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