AMD boosts AI server CPU outlook, lifts 2030 TAM to $120B+, with Data Center revenue up 57% and EPYC deployments soaring—read ...

In data analysis and machine learning practice, "dimensionality reduction" is an essential technique for visualizing high-dimensional data and as a preprocessing step for clustering. Representative ...

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High performance: close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models, including ResNet, MaskRCNN, BERT, VisionTransformer, Stable Diffusion, etc. Unified ...

Current release is the PyTorch implementation of the "Towards Good Practices for Very Deep Two-Stream ConvNets". You can refer to paper for more details at Arxiv. If you find this implementation ...