afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Andrew Carl's Projects
tensorflow-intro
Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard
tensorflow-isan-rnn
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. http://proceedings.mlr.press/v70/foerster17a/foerster17a.pdf
tensorflow-js-projects
Web projects using Tensorflow JS, Plotly, D3, Echarts, NumJS, and NumericJS
tensorflow-k8s-azure
Train TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
tensorflow-layer-library
Tensorflow Layer Library (TeLL)
tensorflow-lite-object-detection-on-android-and-raspberry-pi
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
tensorflow-livelessons
"Deep Learning with TensorFlow" LiveLessons
tensorflow-machine-learning
Implementing Machine Learning tasks using Tensorflow framework
tensorflow-machine-learning-cookbook
Code repository for TensorFlow Machine Learning Cookbook by Packt
tensorflow-maxout
Maxout Networks TensorFlow implementation presented in https://arxiv.org/abs/1302.4389
tensorflow-ml
Different machine learning algorithms implementation in Tensorflow
tensorflow-ml-exercises
Learning Machine Learning with TensorFlow
tensorflow-mnist-cgan-cdcgan
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
tensorflow-mnist-cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
tensorflow-mnist-gan-dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
tensorflow-mnist-mlp-batch_normalization-weight_initializers
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
tensorflow-mnist-vae
Tensorflow implementation of variational auto-encoder for MNIST
tensorflow-multi-dimensional-lstm
Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
tensorflow-multi-gpus
Samples for Multi GPUs in TensorFlow
tensorflow-multigpu-vae-gan
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
tensorflow-neat
implementation of neat like genetic algorithm for finding network topologies in tensorflow
tensorflow-neat-1
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
tensorflow-neuroevolution
Neuroevolution Framework for Tensorflow 2.0, implementing among others the NE algorithm NEAT or custom hybrid-algorithms
tensorflow-nlp-examples
TensorFlow Examples for Natural Language Processing
tensorflow-nvjetson
TensorFlow for NVIDIA Jetson, also include patch and script for building.
tensorflow-object-detection
📦 Operationalizing TensorFlow Object Detection on Azure
tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
tensorflow-object-detection-on-the-raspberry-pi
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
tensorflow-opencl
OpenCL support for TensorFlow
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