This is your work, valued

Brimfield, MA

Dan Saunders

Elite
@djsaunde

LLMs, RL, CV, open source

lm-snn. Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

169

spiketorch. Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

89

rinns_python. Python

6

generative. Working through "Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play" by David Foster

5

old-site. A simple personal webpage ¯\_(ツ)_/¯

4

bindsnet_foolbox. Modifying bits of foolbox to work for particular BindsNET experiments.

2

pyml. Implementation of machine learning algorithms in Python

1

verifiers. Verifiers for LLM Reinforcement Learning

1

gan. GAN implementations in PyTorch

1

Kaggle-Competitions. Jupyter Notebook

1

NeuroDynexMod. A "fork" of the Python package found here: https://pypi.python.org/pypi/neurodynex/. Modifying the Hopfield code to try different network connectivity.

1

NutritionDataCoding. Work done for professor Christian Rojas of the UMass Amherst Resource Economics department. These python scripts restructure semi-structured nutrition data scanned from nutrition information texts.

1

SRT_Task. A slightly modified version of the motor sequence task used in the COGNAC lab.

1

GenerativeDataAugmentation. code repository for final project for CS 697L (Deep Learning)

1