Machine learning books and papers pinned «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…»
Class-incremental Novel Class Discovery
Github: https://github.com/oatmealliu/class-incd
Paper: https://arxiv.org/abs/2207.08605v1
Dataset: https://paperswithcode.com/dataset/tiny-imagenet
@Machine_learn
Github: https://github.com/oatmealliu/class-incd
Paper: https://arxiv.org/abs/2207.08605v1
Dataset: https://paperswithcode.com/dataset/tiny-imagenet
@Machine_learn
🎯 Object-Compositional Neural Implicit Surfaces
Github: https://github.com/qianyiwu/objsdf
Paper: https://arxiv.org/abs/2207.09686v1
Project: https://qianyiwu.github.io/objectsdf/
Dataset: https://paperswithcode.com/dataset/scannet
@Machine_learn
Github: https://github.com/qianyiwu/objsdf
Paper: https://arxiv.org/abs/2207.09686v1
Project: https://qianyiwu.github.io/objectsdf/
Dataset: https://paperswithcode.com/dataset/scannet
@Machine_learn
GitHub
GitHub - QianyiWu/objsdf: :t-rex: [ECCV‘22] Pytorch implementation of 'Object-Compositional Neural Implicit Surfaces'
:t-rex: [ECCV‘22] Pytorch implementation of 'Object-Compositional Neural Implicit Surfaces' - QianyiWu/objsdf
Distance Learner: Incorporating Manifold Prior to Model Training
Github: https://github.com/microsoft/distance-learner
Paper: https://arxiv.org/abs/2207.06888v1
Project: https://fast-vid2vid.github.io/
@Machine_learn
Github: https://github.com/microsoft/distance-learner
Paper: https://arxiv.org/abs/2207.06888v1
Project: https://fast-vid2vid.github.io/
@Machine_learn
GitHub
GitHub - microsoft/distance-learner: Official implementation for "Distance Learner: Incorporating Manifold Prior to Model Training"
Official implementation for "Distance Learner: Incorporating Manifold Prior to Model Training" - microsoft/distance-learner
Forwarded from Machine learning books and papers
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
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
Language Modelling with Pixels
PIXEL is a language model that operates on text rendered as images, fully removing the need for a fixed vocabulary.
Github: https://github.com/xplip/pixel
Paper: https://arxiv.org/abs/2207.06991v1
Dataset: https://paperswithcode.com/dataset/glue
Pretrained: https://huggingface.co/Team-PIXEL/pixel-base
@Machine_learn
PIXEL is a language model that operates on text rendered as images, fully removing the need for a fixed vocabulary.
Github: https://github.com/xplip/pixel
Paper: https://arxiv.org/abs/2207.06991v1
Dataset: https://paperswithcode.com/dataset/glue
Pretrained: https://huggingface.co/Team-PIXEL/pixel-base
@Machine_learn
سلام با توجه به مساله فیلترینگ دوستانی که نیاز به مشاوره و یا سوالی داشتند می تونن به شماره بنده پیام بدن یا تماس بگیرن 00989333900804
Machine learning books and papers pinned «سلام با توجه به مساله فیلترینگ دوستانی که نیاز به مشاوره و یا سوالی داشتند می تونن به شماره بنده پیام بدن یا تماس بگیرن 00989333900804»
🔲 TensorStore
Novel open-source C++ / #Python library for storage/manipulation of high-dim data
⚙️ Github
🗒 Tutorial
📌 Google AI
🦾 Docs
@Machine_learn
Novel open-source C++ / #Python library for storage/manipulation of high-dim data
⚙️ Github
🗒 Tutorial
📌 Google AI
🦾 Docs
@Machine_learn
GitHub
GitHub - google/tensorstore: Library for reading and writing large multi-dimensional arrays.
Library for reading and writing large multi-dimensional arrays. - google/tensorstore
🎓 YATO: Yet Another deep learning based Text analysis Open toolkit
⚙️ Github
📋 Paper
📌 Dataset
@Machine_learn
pip install ylab-yato
⚙️ Github
📋 Paper
📌 Dataset
@Machine_learn
📎 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
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
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
⚙️ Github
💡 Colab
💻 Project
🗒 Paper
🦾 Dataset
🎞 Video
@Machine_learn
git clone https://github.com/williamyang1991/VToonify.git
cd VToonify
⚙️ Github
💡 Colab
💻 Project
🗒 Paper
🦾 Dataset
🎞 Video
@Machine_learn
GitHub
GitHub - williamyang1991/VToonify: [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer - williamyang1991/VToonify
👁 Real-time Online Video Detection with Temporal Smoothing Transformers
⚙️ Github
🗒 Paper
🦾 Dataset
@Machine_learn
git clone --recursive [email protected]:zhaoyue-zephyrus/TeSTra.git
⚙️ Github
🗒 Paper
🦾 Dataset
@Machine_learn
GitHub
GitHub - zhaoyue-zephyrus/TeSTra: Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers"
Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers" - zhaoyue-zephyrus/TeSTra
Advanced Data Analytics Using Python.pdf
2.2 MB
Advanced Data Analytics Using Python
With Machine Learning, Deep Learning and NLP Examples
#book #Ml
@Machine_learn
With Machine Learning, Deep Learning and NLP Examples
#book #Ml
@Machine_learn
👁 Real-time Online Video Detection with Temporal Smoothing Transformers
⚙️ Github
🗒 Paper
🦾 Dataset
@Machine_learn
git clone --recursive [email protected]:zhaoyue-zephyrus/TeSTra.git
⚙️ Github
🗒 Paper
🦾 Dataset
@Machine_learn
GitHub
GitHub - zhaoyue-zephyrus/TeSTra: Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers"
Code for ECCV2022 "Real-time Online Video Detection with Temporal Smoothing Transformers" - zhaoyue-zephyrus/TeSTra