A open source reimplementation of Google's Tensor Processing Unit (TPU).
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Dec 6, 2017 - Python
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A open source reimplementation of Google's Tensor Processing Unit (TPU).
Community gathering point for Google Coral dev board and dongle knowledge.
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
Small-scale Tensor Processing Unit built on an FPGA
An application of realtime object-detection running on an Edge TPU for making cycling in busy cities a little less terrifying.
Webstreaming classification with Google edge TPU on the picamera and balenaFin
Simple playground to play around some architectures with TPUs in Google Colab
Code files for the PlantCLEF 2020 challenge conducted through AICrowd
TPU Based Multilingual Toxic Comment Classification Using BERT - kaggle competition -Jigsaw
Image Classification using latest algorithms such as EfficientNet trained using Google TPU in Tensorflow/Keras
Identify melanoma in lesion images using CNN
WaveGLow -- A Flow-based Generative Network for Speech Synthesis . PyTorch Code modified to run on TPUs .
Track how multiple objects of type(s) you specify are moving through the field of vision.
🥉 (Bronze medal - 241st place - Top 8%) Repository for the "SIIM-ISIC Melanoma Classification" Kaggle competition.
Shopee Code League 2020 image competition 7th place solution
A much-needed implementation of a bi-directional MIDI processor for symbolic music generation with NLP based Music AI architectures.
Implementation of famous Optic disc and cup segmentation research papers in python.
A Kaggle competition - Image classification task
Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.
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