Machinelearning – Telegram

Machinelearning

@ai_machinelearning_big_data

379K subscribers

4.38K photos

835 videos

17 files

4.86K links

Погружаемся в машинное обучение и Data Science

Показываем как запускать любые LLm на пальцах.

По всем вопросам - @haarrp

@itchannels_telegram -🔥best channels

Реестр РКН: clck.ru/3Fmqri

Download Telegram

About

Blog

Apps

Platform

Machinelearning

379K subscribers

Machinelearning

An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes

Github: https://github.com/Guepardow/Visual-features

Paper: https://arxiv.org/abs/2010.07881

7.14K viewsedited 06:57

Machinelearning

📹 Multi-modal Dense Video Captioning

new dense video captioning approach that is able to utilize any number of modalities for event description.

Project: https://v-iashin.github.io/bmt.html

Russian: https://habr.com/ru/company/ods/blog/515688/#6-multi-modal-dense-video-captioning

Code: https://github.com/v-iashin/mdvc

Paper: https://arxiv.org/abs/2005.08271

7.37K views08:02

Machinelearning

🔥 The first AI model that translates 100 languages without relying on English data

https://ai.facebook.com/blog/introducing-many-to-many-multilingual-machine-translation/

Code: https://github.com/pytorch/fairseq/tree/master/examples/m2m_100

Paper: https://ai.facebook.com/research/publications/beyond-english-centric-multilingual-machine-translation

@ai_machinelearning_big_data

The first AI model that translates 100 languages without relying on English data

Facebook AI is introducing M2M-100, the first multilingual machine translation model that can translate between any pair of 100 languages without relying on English data.

7.89K views07:06

Machinelearning

pySBD: Python Sentence Boundary Disambiguation (SBD)

is a rule-based sentence boundary detection module that works out-of-the-box.

Github: https://github.com/nipunsadvilkar/pySBD

Paper: https://arxiv.org/abs/2010.09657v1

@ai_machinelearning_big_data

❤1

7.09K views07:29

Machinelearning

An Example of Graph Convolutional Networks

https://blog.zakjost.com/post/gcn_citeseer/

Github: https://github.com/zjost/blog_code/tree/master/gcn_citeseer

Paper: https://arxiv.org/abs/1609.02907

@ai_machinelearning_big_data

An Example of Graph Convolutional Networks | Zak Jost

Controlled experiments are run on the Citeseer citation graph to understand how GCNs work

6.98K views07:07

Machinelearning

👁 Vision Transformer

Github: https://github.com/google-research/vision_transformer

Dataset: http://www.image-net.org/

Paper: https://arxiv.org/abs/2010.11929

Colab: https://colab.research.google.com/github/google-research/vision_transformer/blob/master/vit_jax.ipynb

@ai_machinelearning_big_data

7.54K views06:30

Machinelearning

This media is not supported in your browser

VIEW IN TELEGRAM

FermiNet: Quantum Physics and Chemistry from First Principles

https://deepmind.com/blog/article/FermiNet

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

Paper: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.033429

@ai_machinelearning_big_data

6.95K views07:18

Machinelearning

TRANSFER LEARNING FOR COMPUTER VISION TUTORIAL WITH PYTORCH

https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html

Code: https://github.com/pytorch/tutorials/blob/master/beginner_source/transfer_learning_tutorial.py

@ai_machinelearning_big_data

7.68K viewsedited 08:48

Machinelearning

Gated Linear Networks

Github: https://github.com/deepmind/deepmind-research/tree/master/gated_linear_networks

Paper: https://arxiv.org/abs/2010.12268v1

The Potential of Gated Linear Networks: https://towardsdatascience.com/the-potential-of-gated-linear-networks-for-online-learning-70ca5ea073a

@ai_machinelearning_big_data

8.96K views06:26

Machinelearning

📡 Athena is an open-source implementation of end-to-end speech processing engine

Github: https://github.com/athena-team/athena

Paper: https://arxiv.org/abs/2010.13991v1

@ai_machinelearning_big_data

7.71K views06:42

Machinelearning

Dealing with Imbalanced Data in Machine Learning

https://www.kdnuggets.com/2020/10/imbalanced-data-machine-learning.html

Code: https://github.com/mwitiderrick/imbalanced-data

@ai_machinelearning_big_data

Dealing with Imbalanced Data in Machine Learning

This article presents tools & techniques for handling data when it's imbalanced.

8.11K views07:17

Machinelearning

Understanding of OpenSeq2Seq.

https://www.geeksforgeeks.org/understanding-of-openseq2seq/

Machine Translation: https://nvidia.github.io/OpenSeq2Seq/html/machine-translation.html

Speech Recognition: https://nvidia.github.io/OpenSeq2Seq/html/speech-recognition.html

Understanding of OpenSeq2Seq - GeeksforGeeks

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

7.25K views07:51

Machinelearning

🧠 Distilling Prioritized Paths For One-Shot Neural Architecture Search

Github: https://github.com/microsoft/cream

Paper: https://arxiv.org/abs/2010.15821v1

Models-Google Drive: https://drive.google.com/drive/folders/1NLGAbBF9bA1IUAxKlk2VjgRXhr6RHvRW

@ai_machinelearning_big_data

7.22K views06:54

Machinelearning

Why nonlinear activation functions improve ML performance – with TensorFlow example.

https://www.machinecurve.com/index.php/2020/10/29/why-nonlinear-activation-functions-improve-ml-performance-with-tensorflow-example/

@ai_machinelearning_big_data

6.87K views07:36

Machinelearning

End-to-end Animal Image Matting

Github: https://github.com/JizhiziLi/animal-matting

Paper: https://arxiv.org/abs/2010.16188v1

Test dataset: https://github.com/JizhiziLi/animal-matting/tree/master/demo/

@ai_machinelearning_big_data

7.13K views07:32

Machinelearning

🙆‍♂️ Gesticulator: A framework for semantically-aware speech-driven gesture generation.

https://svito-zar.github.io/gesticulator/

Code: https://github.com/Svito-zar/gesticulator

Paper: https://arxiv.org/abs/2001.09326

Video: https://www.youtube.com/watch?v=VQ8he6jjW08&feature=youtu.be

@ai_machinelearning_big_data

7.78K views07:35

Machinelearning

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Github: https://github.com/InterDigitalInc/CompressAI

Paper: https://arxiv.org/abs/2011.03029v1

@ai_machinelearning_big_data

7.3K views07:41

Machinelearning

RecBole. A unified, comprehensive and efficient recommendation library

https://recbole.io/

Github: https://github.com/RUCAIBox/RecBole

Paper: https://arxiv.org/abs/2011.01731

Datasets: https://github.com/RUCAIBox/RecDatasets

GitHub - RUCAIBox/RecBole: A unified, comprehensive and efficient recommendation library

A unified, comprehensive and efficient recommendation library - RUCAIBox/RecBole

7.43K views06:46

Machinelearning

Disentangling Latent Space for Unsupervised Semantic Face Editing

Github: https://github.com/max-liu-112/STGAN-WO

Paper: https://arxiv.org/abs/2011.02638

@ai_machinelearning_big_data

GitHub - max-liu-112/STGAN-WO: Implementation of STGAN-WO

Implementation of STGAN-WO. Contribute to max-liu-112/STGAN-WO development by creating an account on GitHub.

7.24K views09:04

Machinelearning

📛PYTORCH CHATBOT TUTORIAL

https://pytorch.org/tutorials/beginner/chatbot_tutorial.html

Code: https://github.com/pytorch/tutorials/blob/master/beginner_source/chatbot_tutorial.py

Code for deep learning researchers to learn PyTorch:

https://github.com/yunjey/pytorch-tutorial

@ai_machinelearning_big_data

8.07K viewsedited 06:51