PanPan Wu's repositories
EB_spikes_trains
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
mini_label_app
mini label app for EEG data
MLmodel_Deployment_withFastAPI
This is the project for Udacity nanodegree for MLOPS
Udacity-Data-Engineer-nanodegree
Project for Udacity Program: Data Engin
bert
TensorFlow code and pre-trained models for BERT
bluepy
Python interface to Bluetooth LE on Linux
build-ml-pipeline-for-short-term-rental-prices
Project code for cd0581 refresh taught by Giacomo Vianello
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Science-Roadmap
Data Science Roadmap from A to Z
demo
AÂ demo repository for My JSON Server (Alpha)
genre_classification
Final exercise of the Udacity class on Machine Learning workflows
Machine_Learning_DevOps_Engineer
Projects for Udacity Machine Learning DevOps Engineer
Model-Compression-Research-Package
A library for researching neural networks compression and acceleration methods.
nlb_tools
Python tools for participating in Neural Latents Benchmark '21
notion-py
Unofficial Python API client for Notion.so
Numerical-Analysis-Python
Python notebooks for Numerical Analysis
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pyclustertend
A python package to assess cluster tendency
PySR
High-Performance Symbolic Regression in Python
PyTorch-Model-Compare
Compare neural networks by their feature similarity
shrinkbench
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
storytelling-with-data
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Torch-Pruning
Pruning channels for model acceleration
Udacity-NLP-Projects
The capstone projects in Udacity Natural Language Processing Nanodegree