Machine learning books and papers

📌skscope: Fast Sparse-Constraint Optimization 🖥 Github: https://github.com/abess-team/skscope 📕 Paper: https://arxiv.org/abs/2403.18540v1 🔥Dataset: skscope.readthedocs.io Topics @Machine_learn

با عرض سلام به خاطر ماه مبارك رمضا دو پكيچ يادگيري ماشين و يادگيري عميق با تخفيف ٧٥٪؜ براي دوستان در نظر گرفتيم. دوستاني كه نياز دارند به ايدي بنده پيام بدن. @Raminmousa

🖼 One-Step Image Translation with Text-to-Image Models CycleGAN-Turbo ▪Paper: https://arxiv.org/abs/2403.12036 ▪Code: https://github.com/GaParmar/img2img-turbo ▪Demo: http://huggingface.co/spaces/gparmar/img2img-turbo-sketch @Machine_learn

جهت استفاده از تخفیف این دو پکیچ یادگیری بنده می تونین با ایدیم در ارتباط باشین @Raminmousa

The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages. #interviews #datascience #python https://t.me/DataScienceQ

با عرض سلام نياز به نفر دوم اين مقاله داريم. ابتدا اركايو مقاله تا دو هفته ديگه فرستاده ميشه سپس براي knowledge based فرستاده ميشه. كسايي كه نياز دارن به بنده مراجعه كنن @Raminmousa

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding 🖥 Github: https://github.com/opengvlab/video-mamba-suite 📕 Paper: https://arxiv.org/abs/2403.09626v1 🔥Dataset: https://paperswithcode.com/dataset/egoschema @Machine_learn

با عرض سلام دوستانی که مقاله برای Knowledge-based Systems می فرستن می تونن من رو به عنوان reviewer معرفی کنن تا مقالاتشون رو بررسی کنم. https://www.sciencedirect.com/journal/knowledge-based-systems @Machine_learn

​​TSMixer: An All-MLP Architecture for Time Series Forecasting Time-series datasets in real-world scenarios are inherently multivariate and riddled with intricate dynamics. While recurrent or attention-based deep learning models have been the go-to solution to address these complexities, recent discoveries have shown that even basic univariate linear models can surpass them in performance on standard academic benchmarks. As an extension of this revelation, the paper introduces the Time-Series Mixer TSMixer. This innovative design, crafted by layering multi-layer perceptrons, hinges on mixing operations across both time and feature axes, ensuring an efficient extraction of data nuances. Upon application, TSMixer has shown promising results. Not only does it hold its ground against specialized state-of-the-art models on well-known benchmarks, but it also trumps leading alternatives in the challenging M5 benchmark, a dataset that mirrors the intricacies of retail realities. The paper's outcomes emphasize the pivotal role of cross-variate and auxiliary data in refining time series forecasting. Paper link: https://arxiv.org/abs/2303.06053 Code link: https://github.com/google-research/google-research/tree/master/tsmixer A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-tsmixer @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

ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions 🖥 Github: https://github.com/Traffic-X/ViT-CoMer 📕 Paper: https://arxiv.org/pdf/2403.07392.pdf ✨ Tasks: https://paperswithcode.com/task/object-detection 🔥Dataset: https://paperswithcode.com/dataset/coco @Machine_learn

رمضان الکریم توبوا إلى الله توبة نصوحا @Machine_learn