CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
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Updated
Mar 17, 2024 - Python
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Small-scale Tensor Processing Unit built on an FPGA
Object and face recognition using Google's edge TPU
Community gathering point for Google Coral dev board and dongle knowledge.
FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference
Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
Semi/Self-Supervised Learning on a Pediatric Pneumonia Dataset
🥉 (Bronze medal - 241st place - Top 8%) Repository for the "SIIM-ISIC Melanoma Classification" Kaggle competition.
TensorFlow Lite Erlang bindings with optional EdgeTPU support.
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.
Track how multiple objects of type(s) you specify are moving through the field of vision.
Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Real time object detection with Raspberry Pi, Google Edge TPU and Python
Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
Webstreaming classification with Google edge TPU on the picamera and balenaFin
Find gravitational wave signals from binary black hole collisions.
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!!
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