jerland's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
marktext/marktext
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
deezer/spleeter
Deezer source separation library including pretrained models.
jina-ai/jina
☁️ Build multimodal AI applications with cloud-native stack
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
tyiannak/pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
aws-samples/aws-glue-samples
AWS Glue code samples
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
johnwmillr/LyricsGenius
Download song lyrics and metadata from Genius.com 🎶🎤
SkafteNicki/dtu_mlops
Exercises and supplementary material for the machine learning operations course at DTU.
minzwon/sota-music-tagging-models
teticio/Deej-AI
Create automatic playlists by using Deep Learning to *listen* to the music.
garystafford/tickit-data-lake-demo
Resources for video demonstrations and blog posts related to DataOps on AWS
FrancescoCasalegno/AB-Testing
A/B Testing — A complete guide to statistical testing
slychief/ismir2018_tutorial
musikalkemist/infiniteremixer
Create infinite remixes intelligently patching together groups of songs
TempoBeatDownbeat/tutorial
Tutorial on Tempo, Beat and Downbeat estimation
sejaldua/music-clustering
K-Means Clustering and PCA to categorize music by similar audio features
hojinYang/spotify_recSys_challenge_2018
2018 Spotify ACM RecSys Challenge 2'nd Place Solution
david-cortes/recometrics
(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
cloudandthings/cat-lakefs-demo
carlthome/pyfasst
Python implementation of the Flexible Audio Source Separation Toolbox (FASST)
kyungyunlee/mirdata
Interoperable Dataset Loaders for Music Information Retrieval (MIR)
carlthome/musicnn
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.