🤔 विश्व हिंदी दिवस Kab Manaya Jata Hai?

A lightweight vision library for performing large scale object detection & instance segmentation

Github: https://github.com/obss/sahi

Paper: https://arxiv.org/abs/2202.06934v1

Kaggle notebook: https://www.kaggle.com/remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx

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

👉👉@learn_programming_coding

🧊 Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Github: https://github.com/dvlab-research/focalsconv

Paper: https://arxiv.org/abs/2204.12463

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

@learn_programming_coding

Some websites where you can get almost any book for free (May be some paid)

1. libgen.io
2. Pdfdrive.net
3. Allitebooks.com
4. Bookrix.com
5. Gutenberg.org
6. Freebooks.com
7. b-ok.org
8. GoalKicker.com

# Anyone Need Research paper or Books

1) http://gen.lib.rus.ec
2) http://sci-hub.org
3) http://sci-hub.cc
4) http://sci-hub.bz or .tw
4) http://search.crossref.org
5) http://booksc.org/
6) http://libgen.io/
7) http://gen.lib.rus.ec/scimag/
8) http://airccj.org/csecfp/library/index.php

# For Text Books these are Some More Links

1) http://libgen.org/
2)http://gen.lib.rus.ec/
3) http://en.bookfi.org/
4) http://lib.freescienceengineering.org/
5) http://bookza.org/
6) http://bookzz.org/

Stay tuned with
• @ElectricalLearner
• @LibraryWorld
• @ComputerEngineeringBooks

⚠ Stay home stay safe
Take care of yourself & your family and take all precautions.

Deep Learning with Python
The ultimate beginners guide to Learn Deep Learning with Python Step by Step

An important collection of the 15 best machine learning cheat sheets.

1- Supervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

2- Unsupervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

3- Deep Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

4- Machine Learning Tips and Tricks

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

5- Probabilities and Statistics

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

6- Comprehensive Stanford Master Cheat Sheet

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

7- Linear Algebra and Calculus

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf

8- Data Science Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf

9- Keras Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf

10- Deep Learning with Keras Cheat Sheet

https://github.com/rstudio/cheatsheets/raw/master/keras.pdf

11- Visual Guide to Neural Network Infrastructures

http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png

12- Skicit-Learn Python Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

13- Scikit-learn Cheat Sheet: Choosing the Right Estimator

https://scikit-learn.org/stable/tutorial/machine_learning_map/

14- Tensorflow Cheat Sheet

https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf

15- Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

@learn_programming_coding