Matt Choi's repositories
AIS-jax
Annealed Importance Sampling implementation using jax (https://arxiv.org/abs/physics/9803008)
BinaryLogRegNLP
ML project which uses a binary logistric regression model to classify movie reviews based on NLP. Written in Python.
cuda-training-series
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
DeepLearningAlgorithms
A collection of pedagogical explorations into a variety of deep learning algorithms.
distributed-fun
Experimenting with distributed computing in PyTorch
dl_lc
Deep learning and leet code algos practice repo
Exoskeleton-Capstone-Archive
Archive of my group capstone project, which was the design of a passive lower-body load-bearing exoskeleton.
Finance
Little python/MySQL refresher practice. Docker+SQLAlchemy+MySQL
flax_llm_experiments
Some experiments using Jax + Flax for patitioning LLMs. Also includes some functionality for running on SLURM clusters.
graph_NNs_jax
Exploratory project into Graph Neural Networks (GNNs) and various Jax resources.
HMM
Hidden Markov Model implementation
llama
Inference code for genesis models
Mel-Spectro-Phonemes
Implementation of the Mel-Spectrogram Phoneme classifier using PyTorch. From kaggle: https://www.kaggle.com/c/11785-spring2021-hw1p2/overview
ML-D-Tree
Practice for ML decision trees, following CMU 10-301/601 spring 2020 HW3.
NeuralNetwork
Simple neural network implementation
PyTorch-Tutorial
PyTorch introductory project, as given by the tutorial : https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html#define-a-loss-function-and-optimizer
Q-L-RL
Q-learning and value iteration RL implementation for simple mazes
t5x-playground
Fork of t5x to play around with.
triton_compiler_workspace
Workspace for writing triton kernels and playing around with the compiler.