🥑 DALL·E Mini

Generate images from a text prompt

Demo: https://huggingface.co/spaces/flax-community/dalle-mini

Github: https://github.com/borisdayma/dalle-mini

Paper: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA

@Machine_learn

Introduction
to Deep
Learning
From Logical Calculus to Artificial
Intelligence #book #DL #2018 @Machine_learn

Machine Learning
für Zeitreihen
Einstieg in Regressions-, ARIMAund
Deep-Learning-Verfahren
mit Python #Book #DL #2021 @Machine_learn

Computational
Science – ICCS 2021 #2021 #book #DL #Cs @Machine_learn

Tokyo Olympics Alternative medals table

Article on how teams performed with the respect to behavior expected by regression model.

Link: https://ig.ft.com/tokyo-olympics-alternative-medal-table/

@Machine_learn

Graph Convolutional Neural Networks to Analyze Complex Carbohydrates

A blog post by Daniel Bojar about an application of GNN to analyzing glycan sequences and their proposed GNN architecture called SweetNet. There are other coverages of this work (here and here). The paper is here and the code is here.

@Machine_learn

با عرض سلام ما پكيج ٣٦ پروژه عملي با يادگيري عميق همراه با داكيومنت فارسي را براي دوستاني كه مي خواهند در اين حوزه به صورت عملي كار كنند تهيه كرديم سرفصل هاي اين پكيج به ترتيب زير مي باشند:


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
هزينه اين پكيج ٥٠٠هزار مي باشد و صرفا هزينه تهيه ديتاست هاست.
جهت خريد مي توانيد با ايدي بنده در ارتباط باشيد
@Raminmousa

​​ByT5: Towards a token-free future with pre-trained byte-to-byte models

Pre-trained language models usually operate on the sequences of tokens, which are based on words or subword units.

Token-free models operate directly on the raw text (characters or bytes) instead. They can work with any language, are more robust to the noise, and don’t require preprocessing.

The authors use a modified mT5 architecture and show that their approach is competitive with token-level models.

Paper: https://arxiv.org/abs/2105.13626
Code: https://github.com/google-research/byt5

A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-byt5

#nlp #deeplearning #transformer #pretraining
@Machine_learn

Reproducible Bioinformatics with Python
How to Write, Document, and Test Programs for
Biology
Ken Youens-Clark
#book #2021 #python #RL
@Machine_learn

Text analytics with sas
#SAS #book #Text_mining
@Machine_learn

Unsupervised Learning in Space and Time
A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
#book #2020 #ML #DL

@Machine_learn

🧹 Overview of data cleaning methods

https://habr.com/ru/company/ru_mts/blog/571606/

@Machine_learn

🔍 Contrastive Sensor Fusion

Github: https://github.com/descarteslabs/contrastive_sensor_fusion

Paper: https://arxiv.org/abs/2108.05094v1

@Machine_learn

📹 Internal Video Inpainting by Implicit Long-range Propagation

Github: https://github.com/Tengfei-Wang/Implicit-Internal-Video-Inpainting

Paper: https://arxiv.org/abs/2108.01912v1

4k Data: https://github.com/Tengfei-Wang/Annotated-4K-Videos

Dataset: https://paperswithcode.com/dataset/videoremoval4k

@Machine_learn

Quantum Machine Learning with Python - 2021
#Quantum #book #2021
@Machine_learn

Deep Learning and Physics
#book #2021 #DL #Physics
@Machine_learn