Popular GitHub Repositories for Frequency Signature

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

[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

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)

: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"

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ??

Radio Frequency Machine Learning with PyTorch

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

sigmaker is a zero-dependency IDA Pro 9.0+ cross-platform signature maker plugin with optional SIMD (e.g. AVX2/NEON/SSE2) speedups that works on MacOS/Linux/Windows. It allows configurable wildcard operand patterns, nibbles, and signature generation just by right clicking.

[ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

A C++ library providing fast language model queries in compressed space.