Popular GitHub Repositories for Phase Picking

Tensorflow implementation of YOLO, including training and test phase.

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

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.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

?? 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.

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

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

Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a move (1, 3, or 5 steps). Whenever two or more players choose the same number, all colliding players fail to advance.