Results for deep_core

deep prototype

Core types for deep_causality crate.

Uniform input/output contract for deep-research harnesses: request, result, citation, plan, telemetry types.

jams-core provides thin abstraction around common machine learning and deep learning models and model stores like AWS S3, Azure Blob Storage, MinIO, Local Filesystem. You can think of each component as a LEGO block which can be used to build a system depending on the requirements

Core traits and utilities for TrustformeRS

Core types and traits for ToRSh deep learning framework

An implementation of the RWKV language model in pure WebGPU.

Pure-Rust ONNX model optimization toolkit — static INT8 quantization, precision casting, and model analysis

Flexible and Comprehensive Deep Learning Framework in Rust

Deep Learning Preprocessing Library

Computational causality library. Provides causality graph, collections, context and causal reasoning.

Programmable ethics for DeepCausality.