Wayne's repositories
KinD_plus_with_test_comparison
This repository is based on code from https://github.com/zhangyhuaee/KinD_plus with addition testing image set and comparison between original testing images and their enhanced version.
TravelSaver
This is a capstone project aiming to help overseas Chinese citizens to get useful information and plan for trips going back to China
adv-nlp
An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
cmu-llm-class
The course website for Large Language Models Methods and Applications
gen-ai-tutorials
Tutorials for CMU's 2023 Generative AI Tutorial Series
gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
HypEmo
The official implementation of ACL 2023 paper "Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification."
KinD_plus
Beyond Brightening Low-light Images
llama
Inference code for LLaMA models
medAlpaca
LLM finetuned for medical question answering
MIMIC_Extract
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
minbert-assignment-23fall
Minimalist BERT implementation assignment for CS11-711
MLinPractice-fall23
Repository for ML in Practice Course at CMU (10-718)
mlip-api-lab
Repository for Recitation Lab 1 - Machine Learning in Production [Spring 2024]
mlip-docker-lab
Repository for Recitation Lab 5 - Machine Learning in Production [Spring 2024]
mlip-kafka-lab
Repository for Recitation Lab 2 - Machine Learning in Production [Spring 2024]
mlip-kubernetes-lab
Repository for Recitation Lab 9 - Machine Learning in Production [Spring 2024]
MLIP_Lab6
This repo provides a starter code for Lab 6 - CI with Jenkins
MLIP_Lab7
This repo is designed for MLIP_Lab7 - MLFlow. This lab focus on the experiment tracking aspect of MLFlow
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rails
Ruby on Rails
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.