271 skills found · Page 3 of 10
cgorman / Tensorflow SomA multi-gpu implementation of the self-organizing map in TensorFlow
hardik0 / Deep Learning With GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
heethesh / Computer Vision And Deep Learning SetupTutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.
vithursant / VAE Gumbel SoftmaxAn implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
MuhammedBuyukkinaci / TensorFlow Multiclass Image Classification Using CNN SBalanced Multiclass Image Classification with TensorFlow on Python.
minimaxir / Deep Learning Cpu Gpu BenchmarkRepository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.
GoogleCloudPlatform / Ml Testing AcceleratorsTesting framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
taki0112 / CASED TensorflowSimple Tensorflow implementation of "Curriculum Adaptive Sampling for Extreme Data Imbalance" with multi GPU using LUNA16 (MICCAI 2017) / LUNA16 Tutorial
Avsecz / Aws Tensorflow SetupInstall TensorFlow on AWS GPU-instance
henry2423 / Docker Ros VncA docker environment with ROS, Gazebo, Xfce4 VNC Desktop and Tensorflow
MuhammedBuyukkinaci / TensorFlow Sentiment Analysis On Amazon Reviews DataImplementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
ryanxjhan / TensorFlow 2.x Cheat SheetTensorFlow is an open-source software library for highperformance numerical computation. Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, and TPUs), as well as mobile and edge devices, desktops, and clusters of servers. TensorFlow comes with strong support for machine learning and deep learning.
deganza / Install TensorFlow On Mac M1 GPUInstall TensorFlow in a few steps on Mac M1/M2 with GPU support and benefit from the native performance of the new Mac Silicon ARM64 architecture.
yehengchen / Ubuntu Deep Learning Environment SetupGuide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档
honghulabs / DockerKerasWe provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.
duolinwang / MusiteDeepMusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.
mftnakrsu / Tf2 ObjectDetectionAPITensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama, label map oluşturma
kangzhiheng / GitLocalDoc服务器（CentOS 7.7）管理、深度学习环境搭建、配置及使用
jasimpson / Tensorflow On AwsScripts to install TensorFlow on an AWS EC2 GPU Instance
PINTO0309 / OpenVINO DeeplabV3[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL
