Tpu Collection

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🔮Psychic

★★★★★

“A high-throughput and memory-efficient inference and serving engine for LLMs”

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🔮Psychic

★★★

“Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.”

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🔮Psychic

★★★

“Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).”

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★★

“Fast and flexible AutoML with learning guarantees.”

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★★

“Everything we actually know about the Apple Neural Engine (ANE)”

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🔥Fire

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“Large-scale LLM inference engine”

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🔮Psychic

★★

“GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型”

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🔥Fire

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“Machine learning compiler based on MLIR for Sophgo TPU.”

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★★

“Elegant and Performant Deep Learning”

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🔮Psychic

★★

“Differentiable Fluid Dynamics Package”

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“Everything you want to know about Google Cloud TPU”

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“Implementation of a Tensor Processing Unit for embedded systems and the IoT.”

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🔥Fire

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“Neural network-based chess engine capable of natural language commentary”

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🔮Psychic

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“OpenVision (ICCV 2025), OpenVision 2 (CVPR 2026), and OpenVision 3”

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🔮Psychic

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“JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).”

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🔮Psychic

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“DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.”

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“Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot”

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“Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.”