سلام دوستان حداقل ماين مي كنينن NFT ماين كنين كه يه چيزي گيرتون بياد. به نظرم اساس كوين هارو بخونين بعد ماين كنين. پروژه پايين از تمامي مواردي كه فرستادين برام بهتر بوده.

https://t.iss.one/SpinnerCoin_bot/app?startapp=r_280673

🎙 Real-time in-browser speech recognition



▪Сode: https://github.com/xenova/transformers.js/tree/v3/examples/webgpu-whisper
▪Hf: https://huggingface.co/spaces/Xenova/realtime-whisper-webgpu

@Machine_learn

https://t.iss.one/SpinnerCoin_bot/app?startapp=r_280673


تنها پروژه اي كه اين روزا از نظرم اهميت داره Spinner هستش كه به ماين NFT مي پردازه.
💎 +750 $SPN as a first-time gift

🔈 Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language



▪Paper: https://arxiv.org/abs/2406.05629
▪Website: https://mhamilton.net/denseav
▪Code: https://github.com/mhamilton723/DenseAV
▪Video: https://youtu.be/wrsxsKG-4eE

@Machine_learn

🔥 Astrologers have announced a week of video generation models!

Following the hype around the Kling, Luma and Runway models, a new open source version of Open-Sora has been released.

Open-Sora 1.2 from Hpcoretech has been published on huggingface.

Basic moments:

The new 1.1B model is trained on 20M videos and generates videos up to 14 seconds long at 720p resolution.

▪Diffusion Model: https://huggingface.co/hpcai-tech/OpenSora-STDiT-v3
▪VAE model: https://huggingface.co/hpcai-tech/OpenSora-VAE-v1.2
▪Technical report: https://github.com/hpcaitech/Open-Sora/blob/main/docs/report_03.md
▪Demo: https://huggingface.co/spaces/hpcai-tech/open-sora

@Machine_learn

با عرض سلام پك يادگيري ماشين و يادگيري عميق به همراه ٣٦ پروژه با داكيومنت فارسي رو براي دوستان تهيه كرديم از دوستان كسي خواست مي تونه به ايدي بنده پيام بده.

1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
--02_Creating_and_Using_Tensors
--03_Implementing_Activation_Functions
-02_TensorFlow_Way
--01_Operations_as_a_Computational_Graph
--02_Implementing_Loss_Functions
--03_Implementing_Back_Propagation
--04_Working_with_Batch_and_Stochastic_Training
--05_Evaluating_Models
-03_Linear_Regression
--linear regression
--Logistic Regression
-04_Neural_Networks
--01_Introduction
--02_Single_Hidden_Layer_Network
--03_Using_Multiple_Layers
-05_Convolutional_Neural_Networks
--Convolution Neural Networks
--Convolutional Neural Networks Tensorflow
--TFRecord For Deep learning Models
-06_Recurrent_Neural_Networks
--Recurrent Neural Networks (RNN)
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray

@Raminmousa

با عرض سلام پك يادگيري ماشين و يادگيري عميق به همراه ٣٦ پروژه با داكيومنت فارسي رو براي دوستان تهيه كرديم از دوستان كسي خواست مي تونه به ايدي بنده پيام بده.

1-Deep Learning Basic
-01_Introduction
--01_How_TensorFlow_Works
--02_Creating_and_Using_Tensors
--03_Implementing_Activation_Functions
-02_TensorFlow_Way
--01_Operations_as_a_Computational_Graph
--02_Implementing_Loss_Functions
--03_Implementing_Back_Propagation
--04_Working_with_Batch_and_Stochastic_Training
--05_Evaluating_Models
-03_Linear_Regression
--linear regression
--Logistic Regression
-04_Neural_Networks
--01_Introduction
--02_Single_Hidden_Layer_Network
--03_Using_Multiple_Layers
-05_Convolutional_Neural_Networks
--Convolution Neural Networks
--Convolutional Neural Networks Tensorflow
--TFRecord For Deep learning Models
-06_Recurrent_Neural_Networks
--Recurrent Neural Networks (RNN)
2-Classification apparel
-Classification apparel double capsule
-Classification apparel double cnn
3-ALZHEIMERS USING CNN(ResNet)
4-Fake News (Covid-19 dataset)
-Multi-channel
-3DCNN model
-Base line+ Char CNN
-Fake News Covid CapsuleNet
5-3DCNN Fake News
6-recommender systems
-GRU+LSTM MovieLens
7-Multi-Domain Sentiment Analysis
-Dranziera CapsuleNet
-Dranziera CNN Multi-channel
-Dranziera LSTM
8-Persian Multi-Domain SA
-Bi-GRU Capsule Net
-Multi-CNN
9-Recommendation system
-Factorization Recommender, Ranking Factorization Recommender, Item Similarity Recommender (turicreate)
-SVD, SVD++, NMF, Slope One, k-NN, Centered k-NN, k-NN Baseline, Co-Clustering(surprise)
10-NihX-Ray
-optimized CNN on FullDataset Nih-Xray
-MobileNet
-Transfer learning
-Capsule Network on FullDataset Nih-Xray

@Raminmousa