PyTorch

NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

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NVIDIA has released the full Run:ai GPU orchestration platform as open source under Apache 2.0. The release includes KAI Scheduler, CUDA 13.4 GPU fractioning, quota management, and a local Kind dev environment.

Deep Learning Framework Showdown: PyTorch vs TensorFlow in 2025

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The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception,...

PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability

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The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and...

torchao: A PyTorch Native Library that Makes Models Faster and Smaller...

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PyTorch has officially launched torchao, a comprehensive native library designed to optimize PyTorch models for better performance and efficiency. The launch of this library...

PyTorch Researchers Introduce an Optimized Triton FP8 GEMM (General Matrix-Matrix Multiply)...

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PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3...

Meet IPEX-LLM: A PyTorch Library for Running LLMs on Intel CPU...

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With the growing complexity of large language models (LLMs), making them easily runnable on everyday hardware is a notable challenge. This need is apparent...

Meet Fusilli: A Python Library for Multi-Modal Data Fusion in Machine...

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In today's data-driven world, handling diverse data types like images, tables, or text has become a norm. However, combining these varied data sets to...

Check Out TorchOpt: An Efficient Library For Differentiable Optimization Built Upon PyTorch

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Differentiable optimization-based algorithms, such as MAML, OptNet, and MGRL, have flourished recently. Meta-gradient, or the gradient term of outer-loop variables obtained by differentiating through...

PyTorch introduces ‘nvFuser’: a Deep Learning Compiler for NVIDIA GPUs that...

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The PyTorch team recently released a Deep Learning Compiler for NVIDIA GPUs called nvFuser. This compiler automatically creates quick, adaptable kernels, speeding up user...

In a Latest Machine Learning Research, Salesforce AI Team Developed a...

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Time-series forecasting has gained tremendous importance in recent times. The task of making future predictions based on previous data, particularly numerical data gathered in...

Meta AI Releases Implicitron, a Modular Framework for Neural Implicit Representations...

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Exciting new opportunities for augmented reality experiences are being made possible by the quick advancements in neural implicit representation. Without much training data or...

In a Latest Computer Vision Research, Alibaba Researchers Develop ‘EPro-PnP’ for...

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In computer vision, determining the posture of 3D objects from a single RGB image is crucial. This field is frequently separated into several tasks,...

PyTorch Team Releases ‘PlayTorch App’ Which is Able to Run AI-powered...

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Play torch, previously known as PyTorch live, helps build AI-powered mobile prototypes quickly. The new release is much simpler and provides a much better...

Amazon AI Releases PyTorch-Based ‘Sockeye 3’: The Latest Version of the...

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The performance of machine translation systems, which previously relied on phrase-based systems, has suddenly improved with the advent of neural network-based models. An open-source...

Meet Intel® Neural Compressor: An Open-Source Python Library for Model Compression...

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Intel has recently released Neural Compressor, an open-source Python package for model compression. This library can be applied to deep learning deployment on CPUs...

Colossal-AI, A Unified Deep Learning System for Big Models, Seamlessly Accelerates...

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According to a Forbes article, large AI models are considered one of six AI trends to watch for in 2022. As large-scale AI models...

PyTorch Introduces GPU-Accelerated Training On Mac

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This Article Is Based On The Research Article 'Introducing Accelerated PyTorch Training on Mac'. All Credit For This Research Goes To The Researchers...

Cerebras Expands Support for Pytorch and Tensorflow Machine Learning Frameworks on...

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Please don't forget to join our ML Subreddit Need help in creating ML Research content for your lab/startup? Talk to us [email protected] Deep learning has emerged...

The PyTorch Fully Sharded Data-Parallel (FSDP) API is Now Available

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Large-scale model training has been found to improve model quality in recent research. Model size has increased 10,000 times in the previous three years,...

Microsoft’s PyTorch-DirectML Release-2 Now Works with Python Versions 3.6, 3.7, 3.8,...

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Machine learning (ML) is becoming a more critical application for developers since it allows them to train models that can do various prediction-based activities....

Pytorch Introduces ‘TorchRec’: A Python-based PyTorch Domain Library For Recommendation Systems...

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Recommendation Systems (RecSys) are a big part of today's production-ready AI, although you wouldn't know it from glancing at Github. In contrast to domains...

UC Berkeley Researchers Introduce the Unsupervised Reinforcement Learning Benchmark (URLB)

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Reinforcement Learning (RL) is a robust AI paradigm for handling various issues, including autonomous vehicle control, digital assistants, and resource allocation, to mention a...

Researchers Develop i-Melt: A Deep Neural Network That Can Predict Glass...

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Glass can be found all around us. It's in our computer screens, next-generation batteries, medical implants, and even volcanoes. Glass is manufactured by melting something...

Facebook AI Introduces ‘NeuralProphet’: A Hybrid Forecasting Framework Based on PyTorch...

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Meta/Facebook AI introduces 'Neural Prophet', a simple forecasting package that provides a solution to some of the most prevalent needs of customers, seeking to...

Facebook AI Releases Captum 0.4: A More Powerful Model Interpretability Library...

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Among other Machine learning (ML) techniques, deep neural networks have become crucial components for various applications, including image classification, audio recognition, and natural language...

Researchers Introduce OncoPetNet: A Deep Learning Based AI System For Mitotic...

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Artificial intelligence (AI) has transformed industries all over the world, including the healthcare sector. From fitness bracelets to glucose monitoring, modern technology allows anyone...

PyTorch Releases PyTorch Profiler v1.9 With New Features To Help Diagnose...

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The PyTorch Profiler v1.9 has been released. It is the newest in a series of releases meant to provide you with new tools for...

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