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followers: 11.0 following: 18.0 repos: 32.0 gists: 34.0

Name: Waleed Khamies

Type: User

Blog: https://waleed.khamies.ca

Waleed Khamies - Applied ML Scientist

I am Waleed, an applied scientist. and ML grad. I am passionate about learning semantic representations from multimodal data. Also, I am interested in mapping these inferred meanings to autonomous actionable insights.

Previously, I worked as a research engineer intern at Mila under the supervision of Liam Paull, where my research focused on developing deep learning models that are suitable to robotics applications in noisy scenarios. I received my master at AMMI in Mathematical sciences/Machine learning, where I worked in interpretability of reinforcement learning under the supervision of George konidaris, previously I received my bachelor degree at UofK in Electrical and electronics engineering, where I worked under the supervision of Benjamin Rosman.

No need to tell! feel free to explore my repos, and if you find something interesting for collaboration, or have some notes that help me improve, please drop me a message, I would love to hear your opinion, and suggestions.

By the way, if you feel too lazy to scroll! you can find an organized portfolio of my work 👉 here.

Also, If you are interested in learning more about Algorithms, Machine Learning, and Data Science, check my recent posts from 👉 here.

And finally, If you are interested in getting exclusive content and cheatsheets related to Artificial Intelligence, Machine Learning, and Data Science, join my newsletter from 👉 here.

Thank you!

Contacts 📫

Email: waleed-at-waleedkhamies-dot-com
Linkedin: @khamiesw
Medium: @khamiesw
Twitter: @Khamiesw

Waleed Khamies's Projects

alzitoona

An Educational Web Application platform built by Django framework.

corner1-ml-algorithms-implementations

corner2-ml-algorithms-implementations

data_structures-and-algorithms

deep-learning

Some implementations of Neural Networks.

implementations-drl

Implementation for some of the Reinforcement Learning algorithms using Tensorflow.

lstm-language-generator

A Pytorch LSTM Language model trained on Penn Tree Bank Dataset.

lstm-variational-autoencoder

A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

md5-assembly-x86

MD5 algorithm implemented by assembly x86 /nasm windows

ml-algorithms-in-c

Some implementations of machine learning algorithms in C

ml-algorithms-in-python

Some implementations of machine learning algorithms in Python

montrealrobotics.github.io

Homepage of the Robotics and Embodied AI Lab (REAL)

neural-network-in-embedded-systems

This Project aims to test the computation efficiency of the feed forward Neural Network (NN) algorithm in Embedded System using standard datasets. It started by a simple perceptron to a fully connected neural network. Using STM32F0, because of its RAM capacity (8KB) instead of ATMEGA32 (2KB), we loaded our model to the chip and let it to do the computation process to output the results as blinking LEDS., then we record the results.

notus-nextjs

Notus NextJS: Free Tailwind CSS UI Kit and Admin

piano-vae

A pytorch Implementation of VAE-based musical model to generate and interpolate piano'notes using Nottingham dataset.

pianonotes-lstm-generation

Generate Piano music using LSTM-based musical model.

portfolyou

A beautiful portfolio Jekyll theme that works with GitHub Pages.

prml_notes

A repository for Bishop Book

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

reinforcement-learning-for-prosthetics

Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments

reward-estimator-corl

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

sap

t5-fine-tune-wikihow-xsum

This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.