🔥 PyTorch - hello · Scour

PyTorch Foundation Adds to Its Portfolio 🚀MLOps

techstrong.ai·6d·Hacker News

PiTorch: machine learning on bare metal Raspberry Pi Zeros 🥧Raspberry Pi

blog.adafruit.com·5h

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU Code: https://github.com/DLYuanGod/MegaTrain 🔬Deep Learning

arxiv.org·2d

Optimization for deep learning: theory and algorithms 📱Edge AI

dev.to

·14h·DEV

Show HN: Shape Foundation Model (masked-token pretraining on CAD meshes) 🤖TVM

github.com·2h·Hacker News

Turning idle household RTX 3090s into a batch AI inference network: looking for testers 📱Edge AI

solvyr.com·2d·r/selfhosted

An application for training deep learning models in your browser 🎨Chroma

statmodeling.stat.columbia.edu·5d

SOTA Normalization Performance with Torch.compile 🔧LLVM IR Optimization

pytorch.org·6d·Hacker News

Own your AI. Optimized down to the kernel 📱Edge AI

runinfra.ai·6d·Hacker News

HiFloat4 Format for Language Model Pre-training on Ascend NPUs ⚙️XLA

arxiv.org·1d·Hacker News

ai-dynamo/aitune: NVIDIA AITune is an inference toolkit designed for tuning and deploying Deep Learning models with a focus on NVIDIA GPUs. ⚡Hardware Acceleration

github.com·2d·r/LocalLLaMA

AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators ⚡Hardware Acceleration

arxiv.org·17h

Unlock AI at the Edge: High-Performance Inference with WebAssembly and ONNX 📱Edge AI

dev.to·6d·DEV

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration 🤖TVM

arxiv.org·17h

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training 📱Edge AI

arxiv.org·1d

deepinv/deepinv: DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning 🤖TVM

github.com·4d·Hacker News

I built a PyTorch edge detection package. 🔧Abseil

dev.to·6d·DEV

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC 🦙Ollama

arxiv.org·4d

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale 🦆Daft

arxiv.org·5d

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU 📱Edge AI

arxiv.org·6d·Hacker News, r/artificial

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