muba1's repositories
AI_Startup_Prototype
This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube
animated_bar_charts_in_R
Code to demo how to build Animated Bar Charts in R
BIRADS_classifier
High-resolution breast cancer screening with multi-view deep convolutional neural networks
brew
🍺 The missing package manager for macOS (or Linux)
Coursera
Quiz & Assignment of Coursera
darts
Differentiable architecture search for convolutional and recurrent networks
Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
ibmdatascience
Repository of Coursera IBM Data Science Professional Certificate
keras
Deep Learning for humans
Keras_Deep_Clustering
How to do Unsupervised Clustering with Keras
MALDIquant
Quantitative Analysis of Mass Spectrometry Data
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Mn_Classifier_CNNs
A convolutional neural network classifier for determining the oxidation state of Manganese
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
PC-CCA
A fast and efficient spectra standardization algorithm.
PlotNeuralNet
Latex code for making neural networks diagrams
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Pynams
Python package for interpreting FTIR spectra of nominally anhydrous minerals (NAMs)
python_tutorial
python tutorial
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
pytorch_tutorial
PyTorch 1.0 Tutorial
SpectralMachine
Machine learning software for rapid analysis of scientific spectra.
spike_sorting
Python implementation of signal processing techniques and K-means clustering to sort spikes.
TEAM
Transfer via Extreme learning machine Auto-encoder Method (TEAM)
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.