📎 Dilated Neighborhood Attention Transformer

natural, flexible and efficient extension to NA that can capture more global context and expand receptive fields exponentially at no additional cost.

⚙️ Github
🗒 Model
📋 Paper
📌 Dataset

@Machine_learn

با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم .
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_____
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)

جهت تهیه می تونین به ایدی بنده مراجعه کنین

@Raminmousa

🔄 VToonify: Controllable High-Resolution Portrait Video Style Transfer


git clone https://github.com/williamyang1991/VToonify.git
cd VToonify

⚙️ Github
💡 Colab
💻 Project
🗒 Paper
🦾 Dataset
🎞 Video

@Machine_learn

👁 Real-time Online Video Detection with Temporal Smoothing Transformers

git clone --recursive [email protected]:zhaoyue-zephyrus/TeSTra.git

⚙️ Github
🗒 Paper
🦾 Dataset

@Machine_learn

Advanced Data Analytics Using Python
With Machine Learning, Deep Learning and NLP Examples
#book #Ml
@Machine_learn

stream processing #book
@Machine_learn

👁 Real-time Online Video Detection with Temporal Smoothing Transformers

git clone --recursive [email protected]:zhaoyue-zephyrus/TeSTra.git

⚙️ Github
🗒 Paper
🦾 Dataset

@Machine_learn

Machine learning Tom M
#book
link :https://www.cin.ufpe.br/~cavmj/Machine%20-%20Learning%20-%20Tom%20Mitchell.pdf

@Machine_learn

🚀 TorchSparse: Efficient Point Cloud Inference Engine

Github: https://github.com/mit-han-lab/torchsparse

Paper: https://arxiv.org/abs/2204.10319v1

Dataset: https://paperswithcode.com/dataset/nuscenes

Demo: https://paperswithcode.com/dataset/pipal-perceptual-iqa-dataset

@Machine_leaen

Deep Reinforcement Learning
CS 285, University of California, Berkeley
Harry Zhang December 2019
#book
@Machine_learn

⭐️ Traffic4cast 2022 Competition: from few public vehicle counters to entire city-wide traffic

🖥 Github: https://github.com/iarai/neurips2022-traffic4cast

🗒 Paper: https://arxiv.org/abs/2211.09984v1

➡️ Dataset: https://developer.here.com/sample-data

@Machine_learn

➡️ AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

🖥 Github: https://github.com/MVIG-SJTU/AlphaPose

📝 Colab: https://colab.research.google.com/drive/1c7xb_7U61HmeJp55xjXs24hf1GUtHmPs?usp=sharing

🗒 Paper: https://arxiv.org/abs/2211.03375v1

➡️ Dataset: https://paperswithcode.com/dataset/hico-det

@Machine_learn

Building Versatile Mobile Apps with Python and REST - 2020
#python #django
@Machine_learn

🚀 Stable Diffusion web UI

UI на основе библиотеки Gradio для Stable Diffusion. Большое количество фич для генерации контента с удобным интерфейсом.

🖥 Github: https://github.com/AUTOMATIC1111/stable-diffusion-webui

⏩ Scripts: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts

⭐️ Features: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features

@Machine_learn

🚀 DiffusionDet: Diffusion Model for Object Detection

DiffusionDet — первая диффузионная модель для обнаружения объектов.

🖥 Github: https://github.com/shoufachen/diffusiondet

➡️ Paper: https://arxiv.org/abs/2211.09788v1

🗒 Getting Started: https://github.com/ShoufaChen/DiffusionDet/blob/main/GETTING_STARTED.md

🖥 Dataset: https://paperswithcode.com/dataset/imagenet

@Machine_learn

با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)

جهت تهیه می تونین به ایدی بنده مراجعه کنین

@Raminmousa