aalhyari
PhD, University of Guelph Assistant Prof., Comp. Eng. Dept. @ Al-Balqa Applied University @HyariAbeer https://fpga.socs.uoguelph.ca/
University of GuelphGuelph
aalhyari's Stars
keras-team/keras
Deep Learning for humans
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
DEAP/deap
Distributed Evolutionary Algorithms in Python
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
affinelayer/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
endymecy/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
ahmedfgad/GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
JasperSnoek/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
NVIDIA-AI-IOT/redtail
Perception and AI components for autonomous mobile robotics.
joeddav/devol
Genetic neural architecture search with Keras
scikit-multilearn/scikit-multilearn
A scikit-learn based module for multi-label et. al. classification
intel/caffe
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.
warmspringwinds/pytorch-segmentation-detection
Image Segmentation and Object Detection in Pytorch
pplonski/keras2cpp
This is a bunch of code to port Keras neural network model into pure C++.
Guim3/IcGAN
Invertible conditional GANs for image editing
nrupatunga/PY-GOTURN
This is the python-caffe implementation of single object tracking from GOTURN paper
Waikato/meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
harvard-acc/ALADDIN
A pre-RTL, power-performance model for fixed-function accelerators
knathanieltucker/bit-of-data-science-and-scikit-learn
Youtube tutorial associated content
duggalrahul/AlexNet-Experiments-Keras
Code examples for training AlexNet using Keras and Theano
waittim/mask-detector
Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.
sg-nm/cgp-cnn
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
sjain-stanford/deep-route
Training a deep FCN network in PyTorch to route circuit layouts
inspectorG4dget/Genetic-Framework
Pure Python Evolutionary Algorithms Framework
yh1008/deepLearning
MNIST, SVHN, Transfered Learning, DNN, CNN
xuex/neural-network-genetic-algorithm
Evolving a neural network with a genetic algorithm.