Niklauscode's Stars
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
xai-org/grok-1
Grok open release
rubickCenter/rubick
🔧 Electron based open source toolbox, free integration of rich plug-ins. 基于 electron 的开源工具箱,自由集成丰富插件。
leptonai/search_with_lepton
Building a quick conversation-based search demo with Lepton AI.
kska32/ebooks
收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本)
guaguaguaxia/weekly_report
简单描述工作内容,帮你生成完整周报
jeshraghian/snntorch
Deep and online learning with spiking neural networks in Python
wh201906/SerialTest
Data transceiver(monitor)/realtime plotter/shortcut/file transceiver over serial port/Bluetooth/network on Windows/Linux/Android/macOS | 跨平台串口/蓝牙/网络调试助手,带数据收发/实时绘图/快捷发送/文件收发面板,可在PC和Android设备上使用
google-deepmind/materials_discovery
MuiseDestiny/zotero-attanger
Attachment Manager for Zotero
SuperStudio/SuperCom
SuperCom 是一款串口调试工具
qiaofengsheng/pytorch-UNet
pytorch搭建自己的unet网络,训练自己的数据集。
cky-thinker/file-share
基于utools的局域网文件传输工具
coreylammie/MemTorch
A Simulation Framework for Memristive Deep Learning Systems
sandialabs/cross-sim
CrossSim: accuracy simulation of analog in-memory computing
SciDAVis/scidavis
rwnobrega/komm
An open-source library for Python 3 providing tools for analysis and simulation of analog and digital communication systems.
zhongruiwang/memristorCNN
memristor 1T1R array based CNN and ConvLSTM
neurosim/DNN_NeuroSim_V1.4
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
dubox/jFlower
jFlower(局发),uTools 插件 ,局域网内容发送
Nambers/logisim_snake
使用logisim模拟电路做的简单贪吃蛇(可参考一个up的教程https://www.bilibili.com/video/BV1wi4y157D3)
wangtuntun/MachineLearning_Ass2
神经网络的实现,包括bp神经网络和rbf神经网络
mcsorkun/V2DB
V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.
TUM-AIPro/NatureCommunications_CiM_FeFET
CodeOceany/predbandgap_2d
用机器学习的方法预测二维材料的物理性质
zhouhouji/kmeans_BasedMem
利用忆阻器阵列仿真kmeans算法
wwyalice/FAVAL_ARANet
Machine Learning to Promote Efficient Screening of Low-Contact Electrode for Two-Dimensional Semiconductor Transistor Under Limited Data
GoogleFellow/ADC128S022
ADC128S022器件是一款低功耗,8通道CMOS 12位模数转换器,转换吞吐速率为50 ksps至200 ksps。该转换器基于具有内部采样保持电路的逐次逼近寄存器架构。它可以配置为在输入IN0至IN7接受最多八个输入信号。 输出串行数据是直接二进制,并与多种标准兼容,如SPI,QSPI,MICROWIRE和许多常见的DSP串行接口。 ADC128S022可以使用独立的模拟和数字电源工作。模拟电源(V 甲)的范围可以从2.7 V至5.25 V,和数字电源(V d)的范围可以从2.7 V至V 甲。使用3 V或5 V电源的正常功耗分别为1.2 mW和7.5 mW。省电功能使用3 V电源将功耗降至0.06μW,使用5 V电源则降至0.25μW。 ADC128S022采用16引脚TSSOP封装。可确保在-40°C至+ 105°C的扩展工业温度范围内工作。
Takagi3-lover/Flask-Server