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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

mchoi-git.github.io

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

parallel_bootstrapper

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.