💪 These Neural Networks Have Superpowers!

 Github: https://github.com/CompVis/taming-transformers

Taming Transformers for High-Resolution Image Synthesis: https://compvis.github.io/taming-transformers/

Paper: https://arxiv.org/abs/2012.09841

Video: https://www.youtube.com/watch?v=o7dqGcLDf0A&ab_channel=TwoMinutePapers

@Machine_learn

Filtering DataFrames with the .query() method in Pandas

https://jbencook.com/pandas-query/

@Machin_learn

سلام دوستان جهت کسب اطلاعات از نحوه خرید می تونین با بنده در ارتباط باشین@Raminmousa

The Transformer Network for the Traveling Salesman Problem

(video and slides) Another great tutorial from Xavier Bresson on traveling salesman problem (TSP) and recent ML approaches to solve it. It gives a nice overview of the current solvers such as Concorde or Gurobi and their computational complexity.

@Machine_learn

Recent Advances in Language Model Fine-tuning

By Sebastian Ruder:

https://ruder.io/recent-advances-lm-fine-tuning/
@Machine_learn

Machine Learning for Time Series Forecasting with Python (2020)

@Machine_learn

Lyra: A New Very Low Bitrate Codec for Speech Compression


http://ai.googleblog.com/2021/02/lyra-new-very-low-bitrate-codec-for.html

@Machine_learn

Unbiased Teacher for Semi-Supervised Object Detection

Github: https://github.com/facebookresearch/unbiased-teacher

Paper: https://arxiv.org/abs/2102.09480

Project: https://ycliu93.github.io/projects/unbiasedteacher.html

@Machine_learn

Fake News 84 Papers #Fake_News #Papers @Machine_learn

A great note to become a data engineer by Chip Huyen:

- Data formats
- ETL
- Batch processing vs Stream processing
...

https://docs.google.com/document/u/0/d/1b9iuZiDEGVLHyMmnf6w2y1aN6yWQhAyqk3GHlpI9q6M/mobilebasic


@Machine_learn

Real-Time Hand sign Recognition using Python and TensorFlow API

Check the Article here:- https://codeperfectplus.herokuapp.com/real-time-hand-sign-recogntion-using-tesnorflow

Android app download link in the Article.

@Machine_learn

Data-driven health estimation and lifetime prediction of lithium-ion
batteries: A review #Paper #ML @Machine_learn

100 numpy exercises
A joint effort of the numpy community
#Numpy #python
@Machine_learn

10 Minutes to pandas
#pandas #python
@Machine_learn

MIT Introduction to Deep Learning

And specifically, lecture about RNN and its modifications:
https://youtu.be/qjrad0V0uJE

The course is excellent as well, but more about image processing. For NLP beginners, such clear and elegant survey about RNNs will be quite useful. So, a lot of architectures in NLP models came from image processing tasks. If you want to recap some theory or get understanding of basics of DL — strong recommendation!

@Machine_learn

Deep Reinforcement
Learning in Action #book @Machine_learn

LEAF: A Learnable Frontend for Audio Classification


http://ai.googleblog.com/2021/03/leaf-learnable-frontend-for-audio.html

@Machine_learn

Leveraging Machine Learning for Game Development


http://ai.googleblog.com/2021/03/leveraging-machine-learning-for-game.html

@Machine_learn

XLA: Optimizing Compiler for Machine Learning

Tensorflow: https://www.tensorflow.org/xla

XLA Architecture: https://www.tensorflow.org/xla/architecture

Github: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla

Code: https://www.tensorflow.org/xla/tutorials/jit_compile

@Machine_learn