Popular GitHub Repositories for Phase Spectra

Tensorflow implementation of YOLO, including training and test phase.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Large language model evaluation and workflow framework from Phase AI.

Differentiable Fluid Dynamics Package

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Additive manufacturing simulation with JAX.

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

implementation of several GANs with pytorch

?? An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription! ?

RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model

MagPhase Vocoder: Speech analysis/synthesis system for TTS and related applications.

3D CNN to predict single-phase flow velocity fields

Unsupervised WaveNet-based Singing Voice Conversion Using Pitch Augmentation and Two-phase Approach

This repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images (ICASSP 2021)

SPECTRA: Spectral framework for evaluation of biomedical AI models

? The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ? In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ? During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ? The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network based on error back propagation training algorithm was used to train and test the system. ? The system response time was 74 μs with an average efficiency of 95%.

Public Goods Game (PGG) Benchmark: Contribute & Punish is a multi-agent benchmark that tests cooperative and self-interested strategies among Large Language Models (LLMs) in a resource-sharing economic scenario. Our experiment extends the classic PGG with a punishment phase, allowing players to penalize free-riders or retaliate against others.

jaxspec is an X-ray spectra Bayesian analysis package, relying on JAX to enable just in time compilation