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Show HN: I built a tensor library from scratch in C++/CUDA

OpenTPU: Open-Source Reimplementation of Google Tensor Processing Unit (TPU)

Teachable Machine

How to Write a Fast Matrix Multiplication from Scratch with Tensor Cores

Ironwood: The first Google TPU for the age of inference

Aiter: AI Tensor Engine for ROCm

Fine-tune Google's Gemma 3

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

Recently open-sourced by Google, Metrax is a JAX library providing standardized, performant metrics implementations for classification, regression, NLP, vision, and audio models. By Sergio De Simone

Google has stepped into the picture when it comes to selling TPUs vs GPUs now.

[D] Why TPUs are not as famous as GPUs

[D] What is up with Tensorflow and JAX?

custom Vulkan C++ machine learning library vs TensorFlow [R]

[P] RetinaNet + MobileNetV2 for Edge TPU Deployment

[D] Conceptually/On a Code Basis - Why does Pytorch work with CUDA out of the box, with minimal setup required, but tensorflow would require all sorts of dependencies?

[Project] Detecting Rooftop Solar Panels in Satellite Images Using Mask R-CNN and TensorFlow

[P] I Fine-Tuned a Language Model on CPUs using Nativelink & Bazel

[D] Anyone else using Tensordock cloud GPU and now feeling frustrated?

huggingface

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transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

ultralytics

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

google-ai-edge

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mediapipe-samples

openxla

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xla

A machine learning compiler for GPUs, CPUs, and ML accelerators