- Seoul, Republic of Korea
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23:30
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Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction
Pure C implementation of FastEnhancer. 3.3x faster than the ONNX Runtime graph, same quality.
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
Pure C Implementation of nemotron-3.5-asr-streaming
A vector index built on TurboQuant, written in Rust with Python bindings
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
Archived — ML Intern is no longer maintained. Continue with HuggingChat.
Unsupervised text tokenizer for Neural Network-based text generation.
Extract voice style embeddings from any WAV for SupertonicTTS — no style encoder needed.
A real-time and multilingual speech translation model
🌐 The Internet Computer! Free, Open-Source, and Self-Hostable.
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCod…
A self hosted virtual browser that runs in docker and uses WebRTC.
Financial charting library with 9 technical indicators, 6 drawing tools, and React component. Built on TradingView Lightweight Charts.
C inference for Qwen3-ASR 0.6b and 1.7b transcriptions models
Two-stage Dereverberation Algorithm using DNN-supported multi-channel linear filtering and single-channel non-linear post-filtering
Real-time speech enhancement in the browser using pure C + WASM SIMD 128-bit.
Speed-optimized streaming neural speech enhancement network
Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation
AirLLM 2.8T LLM inference with single 4GB GPU
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice…


