Set of runnable interdependent operations
Richtext input widget. Based on Quilljs.
MCP agent that clarifies user prompts before sending them to any LLM — works in Cursor, VS Code, IntelliJ, PyCharm, Claude Desktop
form blocks
ONNX model parser - extracts graph structure (nodes, edges, shapes) from .onnx files
No description provided.
Detect Pose Landmark using Mediapipe BlazePose Model for Unity Barracuda
Neural network quantization toolkit for ONNX models
ONNX import/export support for the Axonml ML framework
LIFT-EXPORT: Backends — LLVM IR, ONNX (opset 21), OpenQASM 3, CUDA PTX (planned), XLA (planned)
A PaddlePaddle New IR (PIR) to ONNX model converter.
Rust port of the Silero Voice Activity Detector (VAD) running the bundled ONNX models
LIFT-AST: Lexer, parser, and AST for the .lif source language
LIFT CLI: Command-line interface — verify, analyse, print, compile, simulate, predict
LIFT-CONFIG: .lith configuration language parser and validator
LIFT-CORE: SSA IR foundation — types, values, operations, blocks, regions, verifier
LIFT-HYBRID: Fusion dialect — classical-quantum data encoding, joint gradient computation
LIFT-IMPORT: Importers — PyTorch FX, ONNX, Qiskit, OpenQASM 3
LIFT-OPT: Pass manager and optimisation passes — constant folding, DCE, tensor fusion, gate cancellation