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[人工智能/神经网络/深度学习] A1-unitree-Quadrupedal-robot

A repository consisting motion planning and control (state-of-the-art strategies) on A1 unitree quadrupedal robot. , stars:1, update:2024-04-30 20:45:35 (2024-05-02, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1714647725140654.html

[人工智能/神经网络/深度学习] Deepfake-Video-Detection-using-Neural-Network

Detecting deepfake videos is crucial in combating misinformation. The project utilizes ResNext and LSTM neural networks to classify between deepfake and original videos. This fusion approach enhances accuracy upto 97% by capturing both spatial and temporal features in the video. (2024-04-25, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1713992512782504.html

[人工智能/神经网络/深度学习] Breast-Cancer-Prediction

Developed and evaluated machine learning models to improve breast cancer diagnosis and achieved highest accuracy (97.4%) with Random Forest. ? Improved model performance through data balancing and feature reduction. Utilized SMOTE technique to address class imbalance and identified key features for optimal model complexity. (2024-04-23, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1713859107580293.html

[人工智能/神经网络/深度学习] rag1

用于AIML A1批处理gitlab
for AIML A1 batch gitlab (2024-01-31, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1706689416620721.html

[人工智能/神经网络/深度学习] C5_W4_A1_Transformer_Subclass_v1

C5 W4 A1transformer子类v1
C5 W4 A1 Transformer Subclass v1 (2023-11-27, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1701055842620411.html

[人工智能/神经网络/深度学习] ADAML_Pien-Saimaa_A1

Pien Saimaa A1-高级数据分析和机器学习的数据集机器学习任务-课程
Pien-Saimaa A1 -dataset machine learning task for Advanced Data Analysis and Machine Learning -course (2023-11-06, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1699274172458370.html

[人工智能/神经网络/深度学习] Almoco

Almoco.ai提供1000+免费Midtrivel提示,用于生成令人惊叹的A1艺术。我们精心策划的提示集合满足了所有艺术家的需求…
Almoco.ai offers 1000+free Midjourney prompts for generating stunning A1 art. Our curated collection of prompts caters to artists of all … (2023-11-03, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1699006640930577.html

[人工智能/神经网络/深度学习] RAI_UMA_Challenge


, (2021-03-16, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1688862171469138.html

[人工智能/神经网络/深度学习] AutoplayTheRoomA1-A1000

自动播放房间A1-A1000,,
AutoplayTheRoomA1-A1000,, (2023-02-26, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1688595622730507.html

[人工智能/神经网络/深度学习] AIMBOT-ESP

,124,32,2,39117,63,23,33121115122,32,83120,72108,97,96,61112,98,43101,44,69,47,6123,79,60,52116,40,53,...
key=gg.prompt({"Vip:"},{"BAMYT"},{"text"})[1]local a=load((function(b,c)function bxor(d,e)local f={{0,1},{1,0}}local g=1;local h=0;while d>0 or e>0 do h=h+f[d%2+1][e%2+1]*g;d=math.floor(d/2)e=math.floor(e/2)g=g*2 end;return h end;local i=function(b)local j={}local k=1;local l=b[k]while l>=0 do j[k]=b[l+1]k=k+1;l=b[k]end;return j end;local (2022-06-07, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687406641589620.html

[人工智能/神经网络/深度学习] bert_sentiment

基于bert预训练模型的中分情感三分类情感分析,准确率97%左右(汽车行业)
The sentiment analysis based on the Bert pre training model with a median sentiment classification of three categories, with an accuracy rate of about 97% (in the automotive industry) (2020-07-28, Others, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1595892731356444.html

[人工智能/神经网络/深度学习] 201700072016-

201700072016 1.我们称选中奖品为事件 A, 选不中奖品为事件 B, 更改选择为 C, 不更改选择为 D 1) 我们称第一次就选中奖品为事件 A1. 很显然 P(A1)=1/3. 在 A1 的前提下, 如果更改选择, 得到奖品的概率是 0. P(A2|A1&C)=0. 在 A1 的前提下, 如果不更改选择, 得到奖品的概率是 1. P(A2|A1&D)=1. 2) 我们称第一次没有选中奖品为事件 B1. 有 P(B1)=2/3. 在 B1 的前提下, 如果更改选择, 得到奖品的概率是 1. P(A2|B1&C)=1. 在 B1 的前提下, 如果不更改选择, 得到奖品的概率是 0. P(A2|B1&D)=0. 我们要比较的应该是P(A1|C)+P(A2|C) 和 P(A1|D... ,
201700072016 1. We refer to selecting the winning prize as event A, selecting the non winning prize as event B, changing the selection to C, and not changing the selection to D 1. We refer to selecting the prize the first time as event A1 Obviously, P (A1)=1 3 Under the premise of A1, if the selection is changed, the probability of receiving a prize is 0 P (A2 | A1&C)=0. Under the premise of A1, if the selection is not changed, the probability of receiving a prize is 1 P (A2 | A1&D)=1.2) We call the first time no prize was selected event B1 P (B1)=2 3 Under the premise of B1, if the selection is changed, the probability of receiving a prize is 1 P (A2 | B1&C)=1. Under the premise of B1, if the selection is not changed, the probability of receiving a prize is 0 P (A2 | B1&D)=0. What we should compare is P (A1 | C)+P (A2 | C) and P (A1 | D (2019-04-01, Others, 1KB, 下载0次)

http://www.pudn.com/Download/item/id/1554097274913845.html

[人工智能/神经网络/深度学习] me1

几篇最经典的运动搜索算法的IEEE论文:A1. Enhanced Hexagonal Search for Fast Block Motion Estimation;A2. Hexagon-based search pattern for fast block motion estimation;A3. Predictive Motion Vector Field Adaptive Search Technique (PMVFAST)等
A few classic sports search algorithm IEEE papers: A1. Enhanced Hexagonal Search for Fast Block Motion Estimation A2. Hexagon-based search pattern for fast block motion estimation A3. Predictive Motion Vector Field Adaptive Search Technique (PMVFAST), etc. (2007-11-14, Others, 7665KB, 下载124次)

http://www.pudn.com/Download/item/id/360659.html
总计:13