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acehamiltonians.jl

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

dataframes

Welcome to DataFrames.jl with Bogumił Kamiński

datascience

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

gradient-descent-optimizer-variations

This repository contains implementation of stochastic gradient descent, SGD with momentum, Adagrad, RMSprop, Adam, Adamax optimizer  from scratch using Python language.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

juliacoursenotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

kmeans-gmm-hmm

HMM based on KMeans and GMM

python-for-healthcare-statistics-coursera

Files and Colab notebooks for my course on Python for healthcare statistics.

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

qml-mooc

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

stable_diffusion_playground

Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

youtubevideocode

Code related to my YouTube vids!