NICE：神经发生启发的上下文编码用于无重放类增量学习
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning (2024-03-23, Python, 0KB, 下载0次)
选定VGG模型的PyTorch实现。用于从人脸图像和语音波形中提取特征。
PyTorch implementation of selected VGG models. Useful for feature extraction from face images and speech waveforms. (2024-02-04, Python, 0KB, 下载0次)
采用WaveNet（用于语音合成的原始音频波形的深度生成模型）的语音克隆系统。
Voice cloning system employing WaveNet, a deep generative model of raw audio waveforms for voice synthesis. (2024-02-03, Python, 0KB, 下载0次)
该项目包含方便的仪表盘，允许比较第二次俄罗斯-乌克兰战争期间发生的视觉确认损失…
This project contains the convinient dashboards that allow to compare visually confirmed losses incurred durning Second Russo-Ukrainian W… (2024-01-15, Python, 0KB, 下载0次)
创建了一个自定义 React代理，以了解Zero Shot React Description代理在LLM Langchain中的工作方式。一旦LLM开始，覆盖后端发生的回调，以展示LLM解释期间后端到底发生了什么。
Created a custom React agent to understand how Zero-Shot-React-Description agent works in LLM Langchain. Ovverride the Callbacks happening at the backend once LLM Starts to showcase what exactly is happening at the back during LLM interpretation. (2023-12-31, Python, 0KB, 下载0次)
关系神经发生是一个框架，支持深度强化学习网络中的神经进化机制，以增强生命...，
Relational Neurogenesis is a framework that supports neuroevolutionary mechanisms in deep reinforcement learning networks to enhance lifelong learning capabilities (2023-10-28, Python, 0KB, 下载0次)
我开始写的一本免费书旨在帮助每天使用机器学习框架的人对发生的事情有更好的直觉...，
A free book I started writing aimed at helping folks using machine learning frameworks everyday have a better intuition about what is happening under the hood! (2023-09-12, Python, 0KB, 下载0次)
一种基于图像的深度学习模型，用于帮助预测踩踏事件的发生，
An image-based deep learning model to help predict the the occurrence of a stampede, (2022-11-05, Python, 0KB, 下载0次)
...除了分析能力外，该工具还允许根据对...的分析来预测事件的发生...，
This repository provides the creation of an advanced Persistent Threat analysis tool, which allows to know the state of cyberspace in real time from the attribution of advanced incidents associated with State Actors by MITRE and ThaiCert sources. In addition to the analytical capability, the tool allows to make predictions of the occurrence of (2022-02-23, Python, 0KB, 下载0次)
“用于使用原始波形自动标注音乐的样本级深度卷积神经网络”的TensorFlow实现...
A TensorFlow implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms" (2017-11-08, Python, 25KB, 下载0次)
“使用原始波形进行音乐自动标注的样本级深度卷积神经网络”的Pytorch实现
Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms" (2018-07-28, Python, 13KB, 下载0次)
提交的2021 DCASE研讨会论文的代码：“波形和频谱图：增强声学场景分类...
Code for the submitted 2021 DCASE Workshop paper: "Waveforms and Spectrograms: Enhancing Acoustic Scene Classification Using Multimodal Feature Fusion" (2021-08-09, Python, 918KB, 下载0次)
一个机器学习模型，预测火灾发生的可能性，部署在网页上使用流线李...
A machine learning model that predicts the possibility of fire taking place , deployed on webpage using streamlit library (2020-07-04, Python, 14KB, 下载0次)
使用机器学习检测和预测患者肝脏疾病的发生或存在
Detect and predict the onset or presence of hepatic disease in the patient using machine learning (2023-01-06, Python, 136KB, 下载0次)
我们试图通过使用道路事故数据来预测印度可能发生的道路事故数量...
We hvae tried to predict the number of road accidents that can take place in india by using the road accidents dataset available on kaggle. This project uses Matplotlib for data visualization and scikits learn linear regression model for making prediction. (2019-06-07, Python, 2951KB, 下载0次)
一种工业环境中发生警报情况后恢复的预测和推荐系统
A prediction and recommendation system for recovery after alarm condition occurred in an industrial environment (2019-04-07, Python, 462KB, 下载0次)
火灾探测器，使用计算机视觉OpenCV检测可能发生的野火的大小和火灾的增长速度。G...
Detects the sizes of possible wildfires and the rate at which those fires are growing using Computer Vision/OpenCV. Gives a pre-emptive warning (phone alerts) to nearby individuals using Twilio. Has a MongoDB Stitch database of both surveillance-type videos (as in campgrounds, drones, etc.) and neightborhood cameras that can be continually (2018-09-09, Python, 205302KB, 下载0次)
FAST-RIR，这是我们基于神经网络的快速扩散室脉冲响应发生器（FAST-RI...
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment. (2022-06-30, Python, 4569KB, 下载0次)
优化训练网络方法，减少梯度训练时发生梯度爆炸或梯度消失。
Optimize the training network method to reduce the gradient explosion or gradient disappearance during gradient training. (2018-10-19, Python, 25KB, 下载0次)
仿真实现STDP的波形，《STDP as presynaptic activity times rate of change of postsynaptic activity》代码。
STDP implemented on python, code in "STDP as presynaptic activity times rate of change of postsynaptic activity", arXiv:1509.05936v2. (2017-10-07, Python, 58KB, 下载5次)