tpu-acceleration
There are 54 repositories under tpu-acceleration topic.
salesforce/CodeGen
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
magic-blue-smoke/Dual-Edge-TPU-Adapter
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
ucl-bug/jwave
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
cameronshinn/tiny-tpu
Small-scale Tensor Processing Unit built on an FPGA
embedeep/FREE-TPU-V3plus-for-FPGA
FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference
f0cal/google-coral
Community gathering point for Google Coral dev board and dongle knowledge.
vietai/dab
Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
sayakpaul/Sharpness-Aware-Minimization-TensorFlow
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
goruck/edge-tpu-servers
Object and face recognition using Google's edge TPU
cocoa-xu/tflite_beam
TensorFlow Lite Erlang bindings with optional EdgeTPU support.
eclipse-iofog/iofog.org
Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
Tqualizer/Directional-object-tracking-with-TFLite-and-Edge-TPU
Track how multiple objects of type(s) you specify are moving through the field of vision.
sascha-kirch/ML_Notebooks
Collection of machine learning related notebooks to share.
salvaba94/G2Net
Find gravitational wave signals from binary black hole collisions.
dimitreOliveira/melanoma-classification
:3rd_place_medal: (Bronze medal - 241st place - Top 8%) Repository for the "SIIM-ISIC Melanoma Classification" Kaggle competition.
affjljoo3581/polyglot-jax-inference
TPU에서 한국어용 LLM 추론을 위한 Jax/Flax 구현체입니다.
magic-blue-smoke/CM4-Coral-m.2-TPU
m.2 B+M Coral TPU card for Raspberry Pi CM4
TeamSemiSuperCV/semi-super
Semi/Self-Supervised Learning on a Pediatric Pneumonia Dataset
robodhhb/SmartPiCam
Real time object detection with Raspberry Pi, Google Edge TPU and Python
Sm00thix/IKPLS
Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
ZackAkil/edge-TPU-safe-bike
An application of realtime object-detection running on an Edge TPU for making cycling in busy cities a little less terrifying.
rishabhindoria/GPU-to-TPU
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!!
asigalov61/MIDI-TXT-MIDI
A much-needed implementation of a bi-directional MIDI processor for symbolic music generation with NLP based Music AI architectures.
aaryapatel007/Histopathological-Cancer-Detection
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.
aahouzi/FaceFocus
Generates high resolution face images from low resolution ones using SRGANs.
balena-io-experimental/egde-tpu-web-streamer
Webstreaming classification with Google edge TPU on the picamera and balenaFin
deterministic-algorithms-lab/PyTorch-Waveglow-TPU
WaveGLow -- A Flow-based Generative Network for Speech Synthesis . PyTorch Code modified to run on TPUs .
krai/axs2gcp
Automated KRAI X workflows for Google Cloud Platform
thiyagutenysen/Medical-Image-course
Implementation of famous Optic disc and cup segmentation research papers in python.
alex0dd/SQuAD-QA
Question answering on SQuAD 1.1 dataset by finetuning BERT models. Training is supported both on GPU and on Colab TPU.
CoGian/toxicity-detection-in-text
This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance
copev313/Deep-Learning-Introduction
A collection of deep learning exercises collected while completing an Intro to Deep Learning course. We use TensorFlow and Keras to build and train neural networks for structured data.
robodhhb/RoboPiCam
A Raspberry Pi with PiCam and object detection accelerated by Edge TPU commands a Lego Mindstorms EV3 robot.
sascha-kirch/VoloGAN
Official code for the paper "VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data"
sbhimire/semi-super
Semi/Self-Supervised Learning on a Pediatric Pneumonia Dataset