Machinelearning

Utterance-level Dialogue Understanding: An Empirical Study

The recent abundance of conversational data on the Web and elsewhere calls for effective NLP systems for dialog understanding.

Github: https://github.com/declare-lab/conv-emotion

Paper: https://arxiv.org/abs/2009.13902v1

GitHub

GitHub - declare-lab/conv-emotion: This repo contains implementation of different architectures for emotion recognition in conversations.

This repo contains implementation of different architectures for emotion recognition in conversations. - declare-lab/conv-emotion

7.42K viewsedited 08:55

Machinelearning

Forwarded from TensorFlow

Transfer learning with TensorFlow Hub | TensorFlow Core

https://www.tensorflow.org/tutorials/images/transfer_learning_with_hub

TensorFlow Hub : https://tfhub.dev/

Github: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/images/transfer_learning_with_hub.ipynb

@tensorflowblog

TensorFlow

Transfer learning with TensorFlow Hub | TensorFlow Core

6.83K views06:48

Machinelearning

Rotated Binary Neural Network

Pytorch implementation of RBNN.

Github: https://github.com/lmbxmu/RBNN

Paper: https://arxiv.org/abs/2009.13055

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7.85K viewsedited 06:48

Machinelearning

aLRP Loss: A Ranking-based, Balanced Loss Function

Unifying Classification and Localisation in Object Detection.

💻 Github: https://github.com/kemaloksuz/aLRPLoss

📎 Dataset: https://cocodataset.org/#download

🗒 Paper: https://arxiv.org/abs/2009.13592v1

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6.86K views07:39

Machinelearning

From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

Gitgub: https://github.com/HazyResearch/HypHC

Paper: https://arxiv.org/abs/2010.00402

8.14K views07:16

Machinelearning

Nested Cross-Validation in Python

https://www.kdnuggets.com/2020/10/nested-cross-validation-python.html

Code: https://github.com/omartinez182/data-science-notebooks/blob/master/Nested_Cross_Validation_in_Python.ipynb

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KDnuggets

Key Machine Learning Technique: Nested Cross-Validation, Why and How, with Python code

Selecting the best performing machine learning model with optimal hyperparameters can sometimes still end up with a poorer performance once in production. This phenomenon might be the result of tuning the model and evaluating its performance on the same sets…

7.43K views09:15

Machinelearning

Introduction to Pytorch Code Examples

An overview of training, models, loss functions and optimizers

Free course: https://cs230.stanford.edu/blog/pytorch/

Lectures: https://cs230.stanford.edu/lecture/

Github: https://github.com/thanhhff/CS230-Deep-Learning

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8.88K views07:52

Machinelearning

A new open source framework for automatic differentiation with graphs

https://ai.facebook.com/blog/a-new-open-source-framework-for-automatic-differentiation-with-graphs/

Github: https://github.com/facebookresearch/gtn

Paper: https://arxiv.org/abs/2010.01003

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7.08K viewsedited 07:14

Machinelearning

Graph-based Neural Structured Learning in TFX

New learning paradigm to train neural networks by leveraging structured signals in addition to feature inputs.

https://www.tensorflow.org/tfx/tutorials/tfx/neural_structured_learning

Article: https://blog.tensorflow.org/2020/10/neural-structured-learning-in-tfx.html

Neural Structured Learning: https://www.tensorflow.org/neural_structured_learning

Github: https://github.com/tensorflow/neural-structured-learning#videos-and-colab-tutorials

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7.58K views07:12

Machinelearning

📂 Free course from Amazon

Machine Learning University: Accelerated Natural Language Processing Class.

Github: https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp

Video lectures: https://www.youtube.com/playlist?list=PL8P_Z6C4GcuWfAq8Pt6PBYlck4OprHXsw

Notebook: https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/tree/master/notebooks

@ai_machinelearning_big_data

8.38K views07:27

Machinelearning

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RF: Learning a General Radiance Field for 3D Scene Representation and Rendering

Powerful implicit neural function that can represent and render arbitrarily complex 3D scenes in a single network only from 2D observations.

Github: https://github.com/alextrevithick/GRF

Paper: https://arxiv.org/abs/2010.04595v1

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7.51K views06:28

Machinelearning

Partial FC

Distributed deep learning training framework for face recognition.

Github: https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc

Paper: https://arxiv.org/abs/2010.05222v1

Largest Face Recognition Dataset: https://www.dropbox.com/sh/gdix4jabzlwtk72/AAAXEItN1zwdo_tzOx5-QqHWa?dl=0

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8.11K views07:10

Machinelearning

Forwarded from TensorFlow

Text generation with an RNN | TensorFlow Core

https://www.tensorflow.org/tutorials/text/text_generation

Github: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/text/text_generation.ipynb

Colab: https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_generation.ipynb

@tensorflowblog

TensorFlow

Text generation with an RNN | TensorFlow

7.03K views08:56

Machinelearning