GitHub – Burn – Rust tensor library and deep learning framework
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability. - tracel-ai/burn
GitHub – Burn – Rust tensor library and deep learning framework launched on January 16, 2026 with 6 votes, #2,272 of 14,584 launches that month and more than 75% of that year's launches.
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Comprehensive Tutorials in Deep Learning Using TensorFlow2018 · github.com · ▲327:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
I built a tensor library from scratch in C++/CUDA2025 · github.com · ▲119Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
Deep Learning in TensorFlow – The Roadmap for Study and Learning2019 · github.com · ▲146:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
A high-performance TensorFlow library for quantitative finance2021 · github.com · ▲153High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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