awesome-jax. JAX - A curated list of resources https://github.com/google/jax
2.1kjax-resnet. Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
120resume-checklist. This checklist serves as concrete (but not complete) criteria that a resume for the tech industry should fulfill.
58shapecheck. Framework-agnostic library for checking array/tensor shapes at runtime.
48dsc-workshops. Workshop materials created for the Data Science Club at UWaterloo.
17progan-flax. Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation
12pokemon-analysis. My goal is to scrape and analyze data about competitive pokemon to automatically classify pokemon into tiers.
4semantle-solver. Solves https://semantle.novalis.org/
3htn-ml-productivity-workshop. Code for Hack The North++ 2021's "Establishing a Productive ML Workflow" Workshop.
3nn_utils. Collections of utilities I use to train neural networks.
2jax-utils. Python
2array-partition-comparison. Comparing Lomuto, Hoare, and Alexandrescu (https://youtu.be/fd1_Miy1Clg?t=1696) array partitions.
2rfcx-species-audio-detection. Kaggle https://www.kaggle.com/c/rfcx-species-audio-detection competition
1chrome-tab-predictor. This chrome extension will use the user's history to predict which websites a user will want to use every time they open chrome.
1princeton-algorithms-2. Solutions to the Algorithms, Part II course by Princeton University on Coursera.
1learning-tensorflow. Experimenting with TensorFlow for Python (heavily commented so it can be used as a reference).
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