paran-ia

paran-ia's Stars

• Windere/ASGL-SNN

  Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023

  Language:Python151

• BrainCog-X/Brain-Cog

  Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

  Language:Python42163

• FloyedShen/Plasticity_Driven_Learning_Framework

  Code for Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks

  Language:Jupyter Notebook2

• Demfier/multimodal-speech-emotion-recognition

  Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

  Language:Jupyter Notebook39285

• sun2009ban/divide_NinaPro_database_5

  This repository contain the code we used to divide NinaPro database 5 into train set and test set

  Language:Python94

• chodensei/SpeechEmotionRecognition

  这个项目将 RAVDESS 数据集切割成 1s 短语音，利用 openSMILE+CNN 进行训练，目标是将短语音分类到四种情感中，分别是：开心（happy）、悲伤（sad）、生气（angry）和中性（neutral）。最后准确率达到 76% 左右。

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• Renovamen/Speech-Emotion-Recognition

  Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

  Language:Python957216

• physhik/ecg-mit-bih

  ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

  Language:Python18259

• malele4th/sEMG_DeepLearning

  sEMG-based gesture recognition using deep learnig

  Language:Jupyter Notebook335117

• psychosensing/popane-2021

  POPANE DATASET - Psychophysiology Of Positive And Negative Emotions - supplemental materials

  Language:HTML101

• increase24/Ninapro-dataset-processing

  The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.

  Language:Jupyter Notebook23

• zhanganguo/2OIB-for-sEMG-Recognition

  Second-order information bottleneck for sEMG pattern recognition tasks

  Language:Python111

• 1Konny/VIB-pytorch

  Pytorch implementation of Deep Variational Information Bottleneck

  Language:Python17423

• qymeng94/SLTT

  [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks

  Language:Python32

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python63.5k7.9k

• qymeng94/DSR

  [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

  Language:Python454