Popular GitHub Repositories for Fundamental Frequency

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

List of awesome resources for machine learning-based algorithmic trading

A fundamental toolkit designed for music, song, and audio generation

[CVPR 2025?] Identity-Preserving Text-to-Video Generation by Frequency Decomposition

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Self-supervised contrastive learning for time series via time-frequency consistency

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Tools for Speech Enhancement integrated with Kaldi

The fundamental package for AIops with python.

[NeurIPS 2024] MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

Pitch Estimating Neural Networks (PENN)

Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

:sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

A Large Collection of Bengali Words & Translations (বাংলা-শব্দ-bengali-shobdo-bengal-word-list-bangla-translation-spell-check-checker-dictionary-translator-dataset-data-set-english-to-bd-bn-en-e2b-sobdo)

Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"

A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.

Radio Frequency Machine Learning with PyTorch