jacobjinkelly

BoxBlur

Blurs a png using the BoxBlur algorithm

clinical-ad

Abbreviation disambiguation (AD) in clinical notes using concept embedding model (Marta Skreta) and convolutional neural network baseline (Jacob Kelly).

deepsort

Learning to sort numbers using a LSTM with a modified attention mechanism (Pointer Networks by Vinyals et al.).

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

gibbs-jem

Code for the paper "Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data"

jacobjinkelly.github.io

My personal website.

sequencing

Fast alignment of genomic sequences using Boyer-Moore with linear time construction of indexes using Z algorithm.

slurm

Scripts for launching sweeps on a SLURM cluster.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

VERA

jacobjinkelly/easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

jacobjinkelly/deepsort

Learning to sort numbers using a LSTM with a modified attention mechanism (Pointer Networks by Vinyals et al.).

jacobjinkelly/clinical-ad

Abbreviation disambiguation (AD) in clinical notes using concept embedding model (Marta Skreta) and convolutional neural network baseline (Jacob Kelly).

jacobjinkelly/jacobjinkelly.github.io

My personal website.

jacobjinkelly/Glenforest-STEM-Website

Redesigned website for Glenforest STEM.

jacobjinkelly/sequencing

Fast alignment of genomic sequences using Boyer-Moore with linear time construction of indexes using Z algorithm.

jacobjinkelly/gibbs-jem

Code for the paper "Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data"

jacobjinkelly/pocketguide

jacobjinkelly/slurm

Scripts for launching sweeps on a SLURM cluster.

jacobjinkelly/adversarial-mnist

Generating adversarial examples via iterated fast gradient sign method (Goodfellow et al.) to fool a convolutional neural network on handwritten digits.

jacobjinkelly/ai-deadlines

:alarm_clock: AI conference deadline countdowns

jacobjinkelly/algorithmsdotjs

An opensource npm package of common data structures and algorithms.

jacobjinkelly/augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

jacobjinkelly/awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

jacobjinkelly/cartpole

Implementation of hill-climbing and policy gradient RL algorithms on OpenAI Gym Cartpole environment as part of OpenAI Requests for Research.

jacobjinkelly/config

config files

jacobjinkelly/CS231n

Assignments from CS231n: Conv Nets for Visual Recognition

jacobjinkelly/DistortionSim

testing one-sided matching algorithms which aim to minimize distortion

jacobjinkelly/face-recognition

KNN for face recognition

jacobjinkelly/hw-challenge

jacobjinkelly/jacobjinkelly

jacobjinkelly/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jacobjinkelly/learning-pytorch

A repository of completed / in-progress PyTorch tutorials.

jacobjinkelly/learning-tensorflow

A repository of completed / in-progress TensorFlow tutorials.

jacobjinkelly/machine-learning

Exercises from Andrew Ng's Machine Learning Course

jacobjinkelly/nanoleaf-hackathon

jacobjinkelly/proteinnet

Standardized data set for machine learning of protein structure

jacobjinkelly/robby-the-robot

genetic algorithm for finding optimal cleaning strategy of a virtual cleaning robot

jacobjinkelly/stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

jacobjinkelly/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.