amydaali

active-noise-cancellation

Active noise cancellation using various algorithms (FxLMS, FuLMS, NLMS) in Matlab, VST and C

Artificial-Intelligence-and-Machine-Learning

Algorithm implementations and homework solutions for the Stanford's online courses

Data-Visualizations

Creating Choropleth Maps - Interactive Geographical Maps using Plotly to visualize World Power Consumption and General Election Voting Data

Deep-Learning-Boot-Camp

A community run, 5-day PyTorch Deep Learning Bootcamp

dl-dataday-workshop

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Machine-Learning-Projects

Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM

Machine-Learning-with-Python

Python codes for common Machine Learning Algorithms

PyTorchMedicalAI

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

Recommenders

Recommender Systems

amydaali/Machine-Learning-Projects

Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM

amydaali/Machine-Learning-with-Python

Python codes for common Machine Learning Algorithms

amydaali/Deep-Learning-Boot-Camp

A community run, 5-day PyTorch Deep Learning Bootcamp

amydaali/dl-dataday-workshop

amydaali/PyTorchMedicalAI

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

amydaali/Recommenders

Recommender Systems

amydaali/active-noise-cancellation

Active noise cancellation using various algorithms (FxLMS, FuLMS, NLMS) in Matlab, VST and C

amydaali/Artificial-Intelligence-and-Machine-Learning

Algorithm implementations and homework solutions for the Stanford's online courses

amydaali/Data-Visualizations

Creating Choropleth Maps - Interactive Geographical Maps using Plotly to visualize World Power Consumption and General Election Voting Data

amydaali/Keras-GAN

Keras implementations of Generative Adversarial Networks.

amydaali/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

amydaali/cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

amydaali/data-science-intensive

Work done in Slide Rule's Data Science Intensive course.

amydaali/data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

amydaali/dcgan_code

Deep Convolutional Generative Adversarial Networks

amydaali/DeepLearningExamples

Deep Learning Examples

amydaali/icml2016

Generative Adversarial Text-to-Image Synthesis

amydaali/image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

amydaali/imgclsmob

Sandbox for training convolutional networks for computer vision

amydaali/Intro-Image-Captioning-Lab

Lab on Intro to Image Captioning presented at GTC 2019

amydaali/keras-applications

Reference implementations of popular deep learning models.

amydaali/machine_learning_examples

A collection of machine learning examples and tutorials.

amydaali/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

amydaali/pytorch-tutorials

amydaali/sads-pyspark

San Antonio Data Science Meetup - PySpark Workshop - September 14, 2017

amydaali/semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

amydaali/sliderule_dsi_json_exercise-checkpoint

amydaali/StackGAN

amydaali/wdaali.github.io

My personal website

amydaali/wdaali2.github.io

My personal page