Larq – Binarized Neural Network Inference with MLIR and TFLite
Highly optimized inference engine for Binarized Neural Networks - larq/compute-engine
Larq – Binarized Neural Network Inference with MLIR and TFLite launched on February 17, 2020 with 6 votes, #1,040 of 3,162 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 6 years on.
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We made our own inference engine for Apple Silicon2025 · github.com · ▲186We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
Applying the Unix philosophy to neural networks2019 · github.com · ▲251Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
Netmind Power2023 · netmind.ai · ▲272Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
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