RM NAIR's repositories
scikit-learn
scikit-learn: machine learning in Python
Sandlot-TF-Misc
Python & Tensorflow code downloaded mostly from Tensorflow docs
keras_transfer_cifar10
Object classification with CIFAR-10 using transfer learning
deep-learning-models
Keras code and weights files for popular deep learning models.
cnn_finetune
Fine-tune CNN in Keras
Oreilly-Learning-TensorFlow
Self-learning using code from "Learning TensorFlow A Guide to Building Deep Learning Systems", Tom Hope, Yehezkel S. Resheff, and Itay Lieder Hope, Tom; Resheff, Yehezkel S.; Lieder, Itay.
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
Image-classification-transfer-learning
Retraining Google Inception V3 model to perform custom Image Classification.
tensorboard-embedding-visualization
Easily visualize embedding on tensorboard with thumbnail images and labels.
tensorflow_input_image_by_tfrecord
Feed your own image data to a pre-trained network by tensorflow
mnist-tensorboard-embeddings
Initial commit. Tensorboard running with embeddings to utilise t-SNE
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
Sandlot-PY
Python Code downloaded from blogs and tutorials
models
Models and examples built with TensorFlow
Tensorflow-Dataset-Tutorial
This shoould have been forked from https://github.com/FrancescoSaverioZuppichini/Tensorflow-Dataset-Tutorial.git. But now created from a clone.
Sandlot-CodeSnippets
C Code Snippets
PTB
This is a copy of the directory at /home/rm/tensorflow_models/tutorials/rnn/ptb/
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
GettingStartedWithTF-0.5-0
This is forked from my repo GettingStartedWithTF. The code in that repo has been changed to run on TensorFlow 1.8
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
SelfLearning-ML-LTF
BookCode, "Learning Tensor Flow", by Hope et. al.
Multi-label-Inception-net
Multi-label image classification using pretrained Inception net.
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
mglearn
mglearn helper package for "Introduction to Machine Learning with Python"
keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks