Beast code in Giters

paran's starred repositories

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:PythonGPL-3.065296 279 1610

Speech-Emotion-Recognition

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

Language:PythonMIT1003 15 51

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:PythonApache-2.0447 17 32

multimodal-speech-emotion-recognition

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

Language:Jupyter NotebookMIT398 11 34

sEMG_DeepLearning

sEMG-based gesture recognition using deep learnig

Language:Jupyter Notebook355 8 6

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:PythonGPL-3.0189 9 7

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

Language:Python176 6 1

DSR

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

Language:Python46 1 5

SLTT

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

Language:Python34 10

Ninapro-dataset-processing

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

Language:Jupyter Notebook27 10

ASGL-SNN

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

Language:Python18 2 1

2OIB-for-sEMG-Recognition

Second-order information bottleneck for sEMG pattern recognition tasks

Language:Python11 2 1

popane-2021

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

Language:HTMLMIT10 20

divide_NinaPro_database_5

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

Language:Python9 10

Plasticity_Driven_Learning_Framework

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

Language:Jupyter NotebookApache-2.0200

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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