Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- embeddings
- go
- golang
- llm
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Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
EdgeRock: Strong Reasoning at Constant Memory. Multimodal models with O(N) generation and O(1) persistent history. Inference and evaluation code.
allRank is a framework for training learning-to-rank neural models based on PyTorch.
math and logic formula parser and evaluator
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
🦍 Memorilla: Latent Semantic Memory for LLMs
A code repository indexing tool to supercharge your LLM experience.
A cross-platform Swift library for evaluating mathematical expressions at runtime
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
A PHP-to-native compiler. Takes a subset of PHP - including eval() - and compiles it directly to native assembly, producing standalone binaries for macOS ARM64, Linux ARM64, and Linux x86_64. No VM, no external runtime, no dependencies: dynamic eval falls back to an optional statically linked interpreter.
Expression evaluation in golang
Ontology-Augmented Generation for AI agents.
Convenient unified display of the most relevant technical and tag data for video and audio files.
Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.
PHP 7 Version of the cargo sample used in Eric Evans DDD book
:surfer: Asynchronous flow control with a functional taste to it
A machine learning tool that ranks strings based on their relevance for malware analysis.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Clinical Histopathology Imaging Evaluation Foundation Model
Evaluation functions for music/audio information retrieval/signal processing algorithms.
A curated list of Monte Carlo tree search papers with implementations.
:1234: Bits, bytes and general-purpose calculator