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My own Prompts for Custom instructions ChatGPT
Audio fingerprinting and recognition in Python
Libav github mirror, clone of git://git.libav.org/libav
Manipulate audio with a simple and easy high level interface
Pytorch implementation of deep audio embedding calculation
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Training neural models with structured signals.
Data validation using Python type hints
Foundational Model for Speech Recognition Tasks
kimdesok / Text-classification-of-voice-phishing-transcipts
Forked from selfcontrol7/Korean_Voice_Phishing_DetectionText classification applications for detecting fraudulent calls, spam messages, etc.
Companion webpage to the book "Mathematics For Machine Learning"
This project aims to develop a smart pricing tool for the hosts of Airbnb, in order to maximize profit. Application-specific feature engineering and a "Meta holdout scheme with OOF meta-features" a…
Source code accompanying O'Reilly book: Machine Learning Design Patterns
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
YSDA course in Natural Language Processing
Model for recasing and repunctuating ASR transcripts
complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo
Named Entity Recognition in PyTorch on CoNLL2003 dataset
Named Entity Recognition with BiLSTM, CRF, and Attention-based models implemented in PyTorch for Indonesian News.
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
Python implementations of the Boruta all-relevant feature selection method.
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
Machine Learning Resources, Practice and Research
Learn how to design, develop, deploy and iterate on production-grade ML applications.