mlmabie
Malachi Mabie // I want to apply agentive ML to help me justify and scale intuition, and to creatively re-represent engineering and product challenges.
UC San Diego
Pinned Repositories
acm-ai-workshops
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
big-data-capstone-project
Capstone project for a Hadoop Developer learning path
classifiercomparison
Final project for Cogs 118a (Supervised Machine Learning Algorithms) @ UC San Diego.
COGS-118B_final
Fitness recommendation PCA project. For COGS 118B Unsupervised Machine Learning
COGS-118C
Neural Signal Processing notebooks from Spring 2020.
COGS-182
Reinforcement Learning notebooks, results, and research from WI2021.
DeepReinforcementLearning
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.
hopfield_layer
using hopfield on transformer
mlmabie's Repositories
mlmabie/hopfield_layer
using hopfield on transformer
mlmabie/acm-ai-workshops
mlmabie/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
mlmabie/big-data-capstone-project
Capstone project for a Hadoop Developer learning path
mlmabie/classifiercomparison
Final project for Cogs 118a (Supervised Machine Learning Algorithms) @ UC San Diego.
mlmabie/COGS-118B_final
Fitness recommendation PCA project. For COGS 118B Unsupervised Machine Learning
mlmabie/COGS-118C
Neural Signal Processing notebooks from Spring 2020.
mlmabie/COGS-182
Reinforcement Learning notebooks, results, and research from WI2021.
mlmabie/DeepReinforcementLearning
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.
mlmabie/DeepThings_base
A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
mlmabie/docs
TensorFlow documentation
mlmabie/DEFER_base
DEFER: Distributed Edge Inference for Deep Neural Networks
mlmabie/driving_inspirit
mlmabie/End-to-End-Speech-Recognition-Models
PyTorch implementation of automatic speech recognition models.
mlmabie/esh_dynamics
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
mlmabie/HPC-training
HPC User Training with San Diego Supercomputing Center
mlmabie/k_agent_test
attempting an implementation of roland snook's K-Agents
mlmabie/lab1
mlmabie/mlmabie.github.io
Making a GitHub page
mlmabie/pydub
Manipulate audio with a simple and easy high level interface
mlmabie/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
mlmabie/quantized_neural_networks
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).
mlmabie/Reinforcement_Learning
Reinforcement learning tutorials
mlmabie/SMITH-code
Siamese Multi Hierarchy Transformer for long code examples
mlmabie/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
mlmabie/tf_unet
Generic U-Net Tensorflow implementation for image segmentation
mlmabie/yolo2-pytorch
PyTorch implementation of the YOLO (You Only Look Once) v2