georgeberkeley's Stars
noteflakes/awesome-music
Awesome Music Projects
interactiveaudiolab/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
RayWilliam46/FineTune-DistilBERT
Huggingface transformers: Finetuning DistilBERT on a toxic comment binary classification task.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
musikalkemist/audioDataAugmentationTutorial
Repository hosting code and slides of the Audio Data Augmentation series on The Sound of AI YT channel.
eliorc/node2vec
Implementation of the node2vec algorithm.
alenegro81/gpml
This repo contains all the code required by the book organized by chapter
jaeyk/digital_data_collection_workshop
Digital Data Collection Workshop
jsingh811/pyAudioProcessing
Audio feature extraction and classification
musikalkemist/AudioSignalProcessingForML
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
musikalkemist/DeepLearningForAudioWithPython
Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
victorwegeborn/Audio-Signal-Feature-Extraction-And-Clustering
Pipe-Runner-Lab/audio_signal_clustering
This is a k-means clustering algorithm implementation for audio signals clustering
D2KLab/ToModAPI
Train, evaluate, and use different unsupervised topic modelling algorithms using a RESTful API.
Computational-Content-Analysis-2018/Content-Analysis
dlab-berkeley/python-data-from-web
API and web scraping workshops
rossant/awesome-math
A curated list of awesome mathematics resources
elvawyt/Music2Vec
Course project for Text Mining class 2018
lastmansleeping/music2vec
Generate vector embeddings for music
jonclindaniel/LargeScaleComputing_S21
This is the course repository for the Spring 2021 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.
MilaNLProc/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
flann-lib/flann
Fast Library for Approximate Nearest Neighbors
adammillerio/cratedigger
Sync a music library with Serato crates
digitalepidemiologylab/covid-twitter-bert
Pretrained BERT model for analysing COVID-19 Twitter data
VinAIResearch/BERTweet
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
WillKoehrsen/recurrent-neural-networks
Learning about and doing projects with recurrent neural networks
vzhou842/rnn-from-scratch
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Ejhfast/empath-client
analyze text with empath
lucy3/bertwsi
natematias/research_in_python
This repository includes all the data analyses I carry out for my general exams reading, Spring 2015