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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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Crypto M - Crypto News

@CryptoM · Post #65257 · 04/12/2026, 11:28 AM

🚀 STOCKS | Citic Securities Predicts A-Share Market Recovery Amid Improved Conditions On April 12, Jin10 reported that Citic Securities released a research note indicating a recovery trend in the A-share market this week. According to Jin10, this improvement is attributed to enhanced market risk appetite, liquidity, and fundamentals. Looking ahead, while the pace of growth may slow, the market is expected to continue its upward trajectory in the short term, with medium-term risks posed by sustained high oil prices. April is anticipated to see a return to fundamentals, with a focus on first-quarter reports and identifying promising industries. Industry allocation should center on sectors with high first-quarter prosperity, marginal fundamental improvements, and those benefiting from policy, low allocation levels, and seasonal demand. Key sectors to watch include resources (gold, energy metals, aluminum, minor metals), AI (optical communication, fiberglass, gas turbines), lithium batteries (battery and lithium materials), oil transportation, chemical raw materials, brokerage firms, coal, general equipment, infrastructure construction, and service consumption. #STOCKS#Ashare#MarketRecovery#CiticSecurities#Liquidity#RiskAppetite#Fundamentals#OilPrices#IndustryAllocation#Resources#Gold#EnergyMetals#Aluminum#MinorMetals#AI#OpticalCommunication#Fiberglass#GasTurbines#LithiumBatteries#BatteryMaterials#LithiumMaterials#OilTransportation#ChemicalRawMaterials#Brokerage#Coal#GeneralEquipment#InfrastructureConstruction#ServiceConsumption