mlmabie's Projects
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Capstone project for a Hadoop Developer learning path
Final project for Cogs 118a (Supervised Machine Learning Algorithms) @ UC San Diego.
Fitness recommendation PCA project. For COGS 118B Unsupervised Machine Learning
Neural Signal Processing notebooks from Spring 2020.
Reinforcement Learning notebooks, results, and research from WI2021.
A Deep Deterministic Policy Gradient implementation from scratch using Tensorflow and Numpy, to solve OpenAI Gym environments with continuous action spaces and large state spaces using Deep Reinforcement Learning.
A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
DEFER: Distributed Edge Inference for Deep Neural Networks
TensorFlow documentation
PyTorch implementation of automatic speech recognition models.
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
using hopfield on transformer
HPC User Training with San Diego Supercomputing Center
attempting an implementation of roland snook's K-Agents
Making a GitHub page
Manipulate audio with a simple and easy high level interface
Python Data Science Handbook: full text in Jupyter Notebooks
Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand and Rayan Saab (2020).
Reinforcement learning tutorials
Siamese Multi Hierarchy Transformer for long code examples
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Generic U-Net Tensorflow implementation for image segmentation
PyTorch implementation of the YOLO (You Only Look Once) v2