🪁 Age prediction of a speaker's voice

https://miykael.github.io/blog/2022/audio_eda_and_modeling/

@Machine_learn

Application of Machine Learning to Financial Trading
MICHAL HOREMUZ #book
@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

Towards Reliability in Deep Learning Systems


http://ai.googleblog.com/2022/07/towards-reliability-in-deep-learning.html

@Machine_learn

✔️ Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case

This library implements some of the most common (Variational) Autoencoder models.

Github: https://github.com/clementchadebec/benchmark_VAE

Paper: https://arxiv.org/abs/2206.08309v1

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

@Machine_learn

The Complete Collection of Data Science Cheat Sheets

https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

The Complete Collection of Data Science Cheat Sheets - Part 1.

@Machine_learn

فقط تا پایان امشب تخفیف....

​​⚡️ K-CAI NEURAL API

KCAI NEURAL API Keras based neural network API that will allow you to prototype

Github: https://github.com/joaopauloschuler/k-neural-api

Colab: https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/simple_image_classification_with_any_dataset.ipynb

Paper: https://www.researchgate.net/publication/360226228_Grouped_Pointwise_Convolutions_Reduce_Parameters_in_Convolutional_Neural_Networks

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

@Machine_learn

​​⚡️ K-CAI NEURAL API

KCAI NEURAL API Keras based neural network API that will allow you to prototype

Github: https://github.com/joaopauloschuler/k-neural-api

Colab: https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/simple_image_classification_with_any_dataset.ipynb

Paper: https://www.researchgate.net/publication/360226228_Grouped_Pointwise_Convolutions_Reduce_Parameters_in_Convolutional_Neural_Networks

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

@Machine_learn

📲 Forecasting Future World Events with Neural Networks

Github: https://github.com/andyzoujm/autocast

Paper: https://arxiv.org/abs/2206.15474v1

Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz
@Machine_learn

🎯 A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

Github: https://github.com/shiqiyu/opengait

Paper: https://arxiv.org/abs/2206.13732v1

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

@Machine_learn

⬆️ YOLOv7

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Github: https://github.com/wongkinyiu/yolov7

Paper: https://arxiv.org/abs/2207.02696v1

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

@Machine_learn

This is definitely between new and experienced programmer :D

https://www.tg-me.com/Machine_learn

Real-Time IoT Imaging with Deep Neural Networks - 2020
#Neural_Networks #english @Machine_learn

Grounding Visual Representations with Texts for Domain Generalization

Github: https://github.com/mswzeus/gvrt

Paper: https://arxiv.org/abs/2207.10285v1

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

@Machine_learn

🏎 Instance Shadow Detection with A Single-Stage Detector

Deep framework, and an evaluation metric to approach this new task.

Github: https://github.com/stevewongv/InstanceShadowDetection

Instance Shadow Detection: https://github.com/stevewongv/SSIS

Video: https://www.youtube.com/watch?v=p0b_2SsFypw

Colab: https://colab.research.google.com/drive/1y9UpS5uA1YuoMyvYVzcKL4ltA_FDu_x0?usp=sharing

Paper: https://arxiv.org/abs/2207.04614v1

Datasets: https://paperswithcode.com/dataset/soba

@Machine_learn

Python code for Artificial Intelligence: Foundations of Computational Agents
David L. Poole and Alan K. Mackworth
#book #2022
@Machine_learn

Computer Vision and Augmented Reality in iOS
OpenCV and ARKit Applications
Ahmed Fathi Bekhit
#book #2022
@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