Topic: tpu Goto Github
Some thing interesting about tpu
Some thing interesting about tpu
tpu,:dart: Accumulated Gradients for TensorFlow 2
User: andreped
Home Page: https://gradientaccumulator.readthedocs.io/
tpu,Everything you want to know about Google Cloud TPU
User: ayaka14732
tpu,Train GEMMA on TPU/GPU! (Codebase for training Gemma-Ko Series)
User: beomi
Home Page: https://huggingface.co/beomi/gemma-ko-7b
tpu,🤗 HuggingFace Diffusers Flax TPU and PyTorch GPU for Colab
User: camenduru
tpu,Small-scale Tensor Processing Unit built on an FPGA
User: cameronshinn
tpu,Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
User: captain-pool
tpu,Neural network-based chess engine capable of natural language commentary
User: chrisbutner
Home Page: https://chrisbutner.github.io/ChessCoach/
tpu,Automatically take good care of your preemptible TPUs
User: clashluke
Home Page: https://pypi.org/project/tpucare/
tpu,Script to pre-train hugginface transformers BART with Tensorflow 2
User: cosmoquester
tpu,BERT Model Fine-tuning on Quora Questions Pairs
User: dharmendrach
tpu,Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
Organization: eclipse-iofog
Home Page: https://iofog.org
tpu,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.
Organization: embedeep
Home Page: https://www.embedeep.com
tpu,FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference
Organization: embedeep
tpu,Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Organization: googlecloudplatform
tpu,Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
User: gsarti
tpu,Berserker - BERt chineSE woRd toKenizER
User: hoiy
tpu,Everything we actually know about the Apple Neural Engine (ANE)
User: hollance
tpu,HomebrewNLP in JAX flavour for maintable TPU-Training
Organization: homebrewnlp
tpu,Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
Organization: homebrewnlp
Home Page: https://github.com/HomebrewNLP/revlib
tpu,GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
User: imcaspar
tpu,🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
Organization: instadeepai
tpu,Julia on TPUs
Organization: juliagpu
tpu,DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
User: kohulan
tpu,Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
User: koshian2
tpu,Solana TpuClient Typescript Implementation
User: lmvdz
tpu,Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
User: magic-blue-smoke
tpu,Managed Machine Learning Systems and Internet of Things Live Lesson
User: noahgift
Home Page: https://noahgift.github.io/managed_ml_systems_and_iot/
tpu,🖼 Training StyleGAN2 on TPUs in JAX
Organization: nyx-ai
Home Page: https://nyx-ai.github.io/stylegan2-flax-tpu
tpu,Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
User: pinto0309
Home Page: https://qiita.com/PINTO
tpu,Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi
User: pinto0309
Home Page: https://qiita.com/PINTO
tpu,<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
User: rickiepark
Home Page: https://bit.ly/kerasdl2
tpu,Benchmarking suite to evaluate 🤖 robotics computing performance. Vendor-neutral. ⚪Grey-box and ⚫Black-box approaches.
Organization: robotperf
Home Page: https://robotperf.net
tpu,EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
User: rwightman
tpu,Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
User: sayakpaul
tpu,TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
User: sayakpaul
Home Page: https://keras.io/examples/keras_recipes/better_knowledge_distillation/
tpu,Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
tpu,SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Organization: skypilot-org
Home Page: https://skypilot.readthedocs.io
tpu,cvitek ai compiler base on MLIR
Organization: sophgo
Home Page: https://www.cvitek.com
tpu,TF2 implementation of PointNet for segmenting point clouds
User: soumik12345
Home Page: https://keras.io/examples/vision/pointnet_segmentation/
tpu,Fast and flexible AutoML with learning guarantees.
Organization: tensorflow
Home Page: https://adanet.readthedocs.io
tpu,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Organization: tensorflow
tpu,Differentiable Fluid Dynamics Package
Organization: tumaer
tpu,Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion
Organization: uoft-ecosystem
Home Page: https://UofT-EcoSystem.github.io/hfta/
tpu,Train DCGAN with TPUs on Google Cloud
User: victordibia
tpu,EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
User: wmcnally
tpu,TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin
Organization: yapay-ogrenme
Home Page: https://github.com/yapay-ogrenme/googlecodelabs/wiki
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