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Source channel @githubtrending · Post #15267 · Nov 4

#jupyter_notebook#deep_learning#pytorch You can learn PyTorch effectively in 20 days with a friendly, well-structured guide designed for those who already know some machine learning basics and have used Keras, TensorFlow, or PyTorch before. The book breaks down PyTorch concepts from easy to hard, with clear examples and practical code you can use right away. It includes a daily plan requiring 30 minutes to 2 hours, covering modeling, core concepts, APIs, and even advanced topics like GPU training and recommendation systems. This approach makes mastering PyTorch easier and faster, helping you build strong skills for deep learning projects and real applications. https://github.com/lyhue1991/eat_pytorch_in_20_days

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Crypto M - Crypto News

@CryptoM · Post #64877 · 04/10/2026, 06:14 AM

🚀 Starknet Opens Voting on v0.14.2 Upgrade Proposal Starknet has announced that voting is now open for STRK holders on the v0.14.2 upgrade proposal. According to Foresight News, the voting period will end on April 16. The proposed upgrade includes the introduction of SNIP-36, SNIP-37, and SNIP-13, and aims to enable protocol-level S-Two proof verification, significantly reducing costs for privacy use cases and zk-thread applications. Additionally, the upgrade seeks to adjust the storage economic model to more accurately reflect network resource usage while maintaining cost advantages for developers. The StarkGate token contract will also be upgraded to optimize ERC-20 event indexing, verification, and token handling. Other internal upgrades are planned to prepare for the decentralized verification phase described in SNIP-33, including improvements in P2P, weighted proposer sampling, and the concept of virtual proposers. #Starknet#STRK#v0.14.2 #SNIP36#SNIP37#SNIP13#STwoProof#PrivacyUseCases#zkThread#StorageEconomicModel#StarkGate#ERC20#P2P#DecentralizedVerification#SNIP33#VirtualProposers