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applied-machine-learning

Applied Machine Learning @ http://amitkaps.com/ml

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

cats_and_dogs_small_0403_1

Small dataset for cats and dogs

codes

Codes PDX

colab_for_alpaca_lora

Here is a Google Colab Notebook for fine-tuning Alpaca Lora (within 3 hours with a 40GB A100 GPU)

coursera-deep-learning

My notes / works on deep learning from Coursera

coursera-emojify

Sequence Models - Emojify

coursera-natural-language-processing-specialization

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

data-science-design-manual-notebooks

Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)

dbn

Simple code tutorial for deep belief network (DBN)

deep-belief-networks-tensorflow

Tensorflow implementation of a Deep Belief Network on MNIST

deep-learning-coursera

This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-andrew-ng

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

docs

TensorFlow documentation

edsf

Community supported EDISON Data Science Framework

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

examples

Some code examples

gen

A general-purpose probabilistic programming system with programmable inference

genetic_algorithm_optimization_sklearn-based

gnn-tutorial

Graph Neural Network Tutorial

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-networks

graph2nn

code for paper "Graph Structure of Neural Networks"

hiddenmarkovmodel_tensorflow

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API