Pinned Repositories
array-partition-comparison
Comparing Lomuto, Hoare, and Alexandrescu (https://youtu.be/fd1_Miy1Clg?t=1696) array partitions.
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
dsc-workshops
Workshop materials created for the Data Science Club at UWaterloo.
htn-ml-productivity-workshop
Code for Hack The North++ 2021's "Establishing a Productive ML Workflow" Workshop.
jax-resnet
Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
jax-utils
progan-flax
Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation
resume-checklist
This checklist serves as concrete (but not complete) criteria that a resume for the tech industry should fulfill.
semantle-solver
Solves https://semantle.novalis.org/
shapecheck
Framework-agnostic library for checking array/tensor shapes at runtime.
n2cholas's Repositories
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
n2cholas/jax-resnet
Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
n2cholas/resume-checklist
This checklist serves as concrete (but not complete) criteria that a resume for the tech industry should fulfill.
n2cholas/shapecheck
Framework-agnostic library for checking array/tensor shapes at runtime.
n2cholas/dsc-workshops
Workshop materials created for the Data Science Club at UWaterloo.
n2cholas/progan-flax
Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation
n2cholas/htn-ml-productivity-workshop
Code for Hack The North++ 2021's "Establishing a Productive ML Workflow" Workshop.
n2cholas/semantle-solver
Solves https://semantle.novalis.org/
n2cholas/array-partition-comparison
Comparing Lomuto, Hoare, and Alexandrescu (https://youtu.be/fd1_Miy1Clg?t=1696) array partitions.
n2cholas/jax-utils
n2cholas/nn_utils
Collections of utilities I use to train neural networks.
n2cholas/pokemon-analysis
My goal is to scrape and analyze data about competitive pokemon to automatically classify pokemon into tiers.
n2cholas/n2cholas.github.io
A content-first, sliding sidebar theme for Jekyll.
n2cholas/princeton-algorithms-2
Solutions to the Algorithms, Part II course by Princeton University on Coursera.
n2cholas/rfcx-species-audio-detection
Kaggle https://www.kaggle.com/c/rfcx-species-audio-detection competition
n2cholas/algorithms-and-data-structures
Compilation of various Algorithms and Data Structures implemented in Python.
n2cholas/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
n2cholas/dotfiles
All the dotfiles I use.
n2cholas/flax
Flax is a neural network library for JAX that is designed for flexibility.
n2cholas/GitHubDataAnalysis
Kernel created for the GitHub dataset on Kaggle. Work in progress.
n2cholas/optax
Optax is a gradient processing and optimization library for JAX.
n2cholas/PixelShot300
This software is used to interface with the PixelShot 300, a one pixel camera designed to capture a 300 x 300 image within 5 minutes.
n2cholas/pytorch-qrnn
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
n2cholas/quora-insincere-questions-classification-kaggle-challenge
Quora Insincere Questions Classification. https://www.kaggle.com/c/quora-insincere-questions-classification
n2cholas/resume
I got tired of having 50 different resumes all slightly different. This makes it easy to version control and get critiques.
n2cholas/rodeo
Probabilistic Solution of Differential Equations
n2cholas/scrape-air-canada
Scrapes flights for points on Air Canada.
n2cholas/TEDTalks
Kernel created for Rounak Banik's TED Talks data set, on Kaggle.
n2cholas/ThriveLifeSimulator
Simulates an ecosystem consisting of trees and various land-dinosaurs in a 3D environment with ways for the user to influence the ecosystem. Made with Bingran Li and Lawrence Pang for ICS4U1 course.
n2cholas/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.