progscrape: ml

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RE#: how we built the fastest regex engine in F#

21 days ago iev.ee compiler f# ml performance regex

Electrobun and WGPU: Tiny, cross-platform games and ML with Bun

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Show HN: Timber – Ollama for classical ML models, 336x faster than Python

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Fast Autoscheduling for Sparse ML Frameworks

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Free ML Engineering roadmap for beginners

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ML compiler interview preparation guide

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Rewriting a Real-tIme AI/ML Data Engine in Rust: From Python/Ray to DataFusion, Arrow and SlateDB

3 days ago volgaai.substack.com rust

Built a CLI tool that runs pre-training checks on PyTorch pipelines — pip install preflight-ml

7 days ago reddit.com python

Announcing nabled v0.0.3 (beta): ndarray-native crate for linalg + ML numerical workflows

18 days ago reddit.com rust

ANN : Quiver, An Arrow Flight + gRPC ML feature serving server in Rust

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AXIOM: Built a sparse dynamic routing architecture for LLM inference entirely in Rust. No ML frameworks, no GPU, 1.2M parameters

8 days ago reddit.com gpu llm rust

I built a visual drag-and-drop ML trainer (no code required). Free & open source.

8 days ago reddit.com python

Inverse design as a computational problem: how ML is replacing iterative simulation for engineering physical devices -- with photonics as the case study

2 days ago reddit.com

Spectra – local finance dashboard from bank exports, offline ML categorization

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Companies using Python for backend (not AI/ML) in India?

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Alice the Caml

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My fast zero-allocation webserver using OxCaml

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Building and Deploying Your First ML Model in Go

26 days ago slicker.me go

TensorFlow.js is 500KB. I just needed a trendline. So I built micro-ml.

40 days ago npmjs.com javascript

Packaging AI/ML models as conda packages

22 days ago prefix.dev ai

8 ML algorithms + statistics suite in ~56KB gzipped, updated my package.

36 days ago github.com algorithm javascript

Show HN: Shibuya – A High-Performance WAF in Rust with eBPF and ML Engine

27 days ago ghostklan.com rust show

Best path to pivot into ML compilers?

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Technology behind Koharu: Building a pure-Rust ML pipeline for manga translation (Tauri + Candle)

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Fast Autoscheduling for Sparse ML Frameworks

46 days ago ajroot.pl compiler

Starting a new study group for ML and Interpretability Research

25 days ago reddit.com

Kolibrie a SPARQL + inference + RDF streaming + ML in one Rust engine

27 days ago reddit.com rust

Me and a few friends are starting a study group to Deep Dive in ML and mechanistic Interpretability

25 days ago reddit.com

A Python tool for review-driven regression testing of ML/LLM outputs

36 days ago reddit.com python

confidential-ml-transport - attestation-bound encrypted tensor transport for confidential ML inference

43 days ago reddit.com rust

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RE#: how we built the fastest regex engine in F#

Electrobun and WGPU: Tiny, cross-platform games and ML with Bun

Show HN: Timber – Ollama for classical ML models, 336x faster than Python

Fast Autoscheduling for Sparse ML Frameworks

Free ML Engineering roadmap for beginners

ML compiler interview preparation guide

Rewriting a Real-tIme AI/ML Data Engine in Rust: From Python/Ray to DataFusion, Arrow and SlateDB

Built a CLI tool that runs pre-training checks on PyTorch pipelines — pip install preflight-ml

Announcing nabled v0.0.3 (beta): ndarray-native crate for linalg + ML numerical workflows

ANN : Quiver, An Arrow Flight + gRPC ML feature serving server in Rust

AXIOM: Built a sparse dynamic routing architecture for LLM inference entirely in Rust. No ML frameworks, no GPU, 1.2M parameters

I built a visual drag-and-drop ML trainer (no code required). Free & open source.

Inverse design as a computational problem: how ML is replacing iterative simulation for engineering physical devices -- with photonics as the case study

Spectra – local finance dashboard from bank exports, offline ML categorization

Companies using Python for backend (not AI/ML) in India?

Alice the Caml

My fast zero-allocation webserver using OxCaml

Building and Deploying Your First ML Model in Go

TensorFlow.js is 500KB. I just needed a trendline. So I built micro-ml.

Packaging AI/ML models as conda packages

8 ML algorithms + statistics suite in ~56KB gzipped, updated my package.

Show HN: Shibuya – A High-Performance WAF in Rust with eBPF and ML Engine

Best path to pivot into ML compilers?

Technology behind Koharu: Building a pure-Rust ML pipeline for manga translation (Tauri + Candle)

Fast Autoscheduling for Sparse ML Frameworks

Starting a new study group for ML and Interpretability Research

Kolibrie a SPARQL + inference + RDF streaming + ML in one Rust engine

Me and a few friends are starting a study group to Deep Dive in ML and mechanistic Interpretability

A Python tool for review-driven regression testing of ML/LLM outputs

confidential-ml-transport - attestation-bound encrypted tensor transport for confidential ML inference