Neural-Backed Decision Trees

Demo: https://research.alvinwan.com/neural-backed-decision-trees/

Github: https://github.com/alvinwan/neural-backed-decision-trees

Paper: https://arxiv.org/abs/2004.00221

Code: https://colab.research.google.com/github/alvinwan/neural-backed-decision-trees/blob/master/examples/load_pretrained_nbdts.ipynb

Dataset: https://pytorch.org/docs/stable/torchvision/datasets.html

@Machine_learn

🧪 Alchemy: A structured task distribution for meta-reinforcement learning

Deepmind: https://deepmind.com/research/publications/alchemy

Github: https://github.com/deepmind/dm_alchemy

Paper: https://arxiv.org/abs/2102.02926

@Machine_learn

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Github: https://github.com/EdisonLeeeee/GraphGallery

Paper: https://arxiv.org/abs/2102.07933v1

@Machine_learn

Introducing Model Search: An Open Source Platform for Finding Optimal ML Models


http://ai.googleblog.com/2021/02/introducing-model-search-open-source.html

@Machine_learn

AI for Data Science
#book #Al
@Machine_learn

Python for data science cheatsheet
#python #chearsheet

@Machine_learn

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

Github: https://github.com/mims-harvard/TDC

Paper: https://arxiv.org/abs/2102.09548

Datasets: https://tdcommons.ai/

@Machine_learn

Python Data Visualization: Bokeh Cheat Sheet
#CheatSheet
@Machine_learn

💪 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