glove | Compute Glove vectors using a co-occurence matrix | Machine Learning library

 by   JonathanRaiman Python Version: 1.0.2 License: No License

kandi X-RAY | glove Summary

kandi X-RAY | glove Summary

glove is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. glove has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can install using 'pip install glove' or download it from GitHub, PyPI.

Cython general implementation of the Glove multi-threaded training. GloVe is an unsupervised learning algorithm for generating vector representations for words. Training is done using a co-occcurence matrix from a corpus. The resulting representations contain structure useful for many other tasks.
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            kandi-support Support

              glove has a highly active ecosystem.
              It has 48 star(s) with 18 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 0 have been closed. On average issues are closed in 664 days. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of glove is 1.0.2

            kandi-Quality Quality

              glove has 0 bugs and 0 code smells.

            kandi-Security Security

              glove has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              glove code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              glove does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              glove releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed glove and discovered the below as its top functions. This is intended to give you an instant insight into glove implemented functionality, and help decide if they suit your requirements.
            • Train the model .
            • Initialize latent variables .
            • read a file
            Get all kandi verified functions for this library.

            glove Key Features

            No Key Features are available at this moment for glove.

            glove Examples and Code Snippets

            Glove,Example
            Pythondot img1Lines of Code : 22dot img1no licencesLicense : No License
            copy iconCopy
            import glove
            
            cooccur = {
            	0: {
            		0: 1.0,
            		2: 3.5
            	},
            	1: {
            		2: 0.5
            	},
            	2: {
            		0: 3.5,
            		1: 0.5,
            		2: 1.2
            	}
            }
            
            model = glove.Glove(cooccur, d=50, alpha=0.75, x_max=100.0)
            
            for epoch in range(25):
                err = model.train(batch_size=200, workers=9, b  

            Community Discussions

            QUESTION

            Is storing an object as a value in a key:value pair safe in Python?
            Asked 2022-Mar-31 at 04:17

            I'm designing the mechanics behind a RPG. There are classes for Item, Player, NPC, etc. The Player class has attributes inventory and equipment. Equipment is a list of dictionaries, such as:

            ...

            ANSWER

            Answered 2022-Mar-31 at 04:17

            Is it safe, efficient, and reliable to pass an entire object as a value?

            Yes! Everything in Python is an object.

            If I'm correct, this is the print function returning an address in memory denoting the object. Does this represent any issues? ... is the print function returning an address in memory denoting the object. Does this represent any issues?

            No issues here. It depends entirely on the __repr__ overrides of the class. If it doesn't have one, then the default implementation is to print out the id() of the object and its class type. E.g.

            Source https://stackoverflow.com/questions/71686734

            QUESTION

            tf2.0: Gradient Tape returns None gradient in RNN model
            Asked 2022-Mar-27 at 23:56

            In a model with an embedding layer and SimpleRNN layer, I would like to compute the partial derivative dh_t/dh_0 for each step t.

            The structure of my model, including imports and data preprocessing.
            Toxic comment train data available: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/data?select=jigsaw-toxic-comment-train.csv
            GloVe 6B 100d embeddings available: https://nlp.stanford.edu/projects/glove/

            ...

            ANSWER

            Answered 2022-Feb-18 at 14:02

            You could maybe try using tf.gradients. Also rather use tf.Variable for h0:

            Source https://stackoverflow.com/questions/71153292

            QUESTION

            Error while loading vector from Glove in Spacy
            Asked 2022-Mar-17 at 16:39

            I am facing the following attribute error when loading glove model:

            Code used to load model:

            ...

            ANSWER

            Answered 2022-Mar-17 at 14:08

            spacy version: 3.1.4 does not have the feature from_glove.

            I was able to use nlp.vocab.vectors.from_glove() in spacy version: 2.2.4.

            If you want, you can change your spacy version by using:

            !pip install spacy==2.2.4 on your Jupyter cell.

            Source https://stackoverflow.com/questions/71512064

            QUESTION

            Difference in hand color between pretrain dataset and fine dataset?
            Asked 2022-Jan-22 at 07:37

            I have a pose estimation model pretrained on a dataset in which hands are in its nartural color. I want to finetune that model on the dataset of hands of surgeons doing surgeries. Those hands are in surgical gloves so the image of the hands are a bit different than normal hands.

            pretraine image

            finetune image

            Does this difference in hand colors affect the model performance? If I can make images of those surgical hands more like normal hands, will I get better performance?

            ...

            ANSWER

            Answered 2022-Jan-22 at 07:37

            Well, it depends on what your pre-trained model has learned to capture from the pre-training (initial) dataset. Suppose your model had many feature maps and not enough skin color variation in your pre-training dataset (leads to overfitting issues). In that case, your model has likely "taken the path of least resistance" and exploited that to learn feature maps that rely on the color space as means of feature extraction (which might not generalize well due to color differences).

            The more your pre-training dataset match/overlap with your target dataset, the better the effects of transfer learning will be. So yes, there is a very high chance that making your target dataset (surgical hands) look more similar to your pre-training dataset will positively impact your model's performance. Moreover, I would conjecture that introducing some color variation (e.g., Color Jitter augmentation) in your pre-training dataset could also help your model generalize to your target dataset.

            Source https://stackoverflow.com/questions/70810779

            QUESTION

            How does text encoding from tensorflow.keras.preprocessing.text.Tokenizer differ from the old tfds.deprecated.text.TokenTextEncoder
            Asked 2021-Dec-23 at 07:49
            tfds.deprecated.text.TokenTextEncoder

            In the deprecated encoding method with tfds.deprecated.text.TokenTextEncoder We first create a vocab set of token

            ...

            ANSWER

            Answered 2021-Dec-22 at 09:53

            Maybe try something like this:

            Source https://stackoverflow.com/questions/70446032

            QUESTION

            Pull out categorical rows and apply to all subsequent rows until new category found
            Asked 2021-Oct-13 at 18:29

            Here is a dummy DataFrame of my data, I have categorical rows (represented by the existence of NaN value of 'Price') and data rows (represented by a non-NaN value of 'Price').

            ...

            ANSWER

            Answered 2021-Oct-13 at 18:17

            Try mask the notna, then ffill to get the correct Sport:

            Source https://stackoverflow.com/questions/69560354

            QUESTION

            How to apply a function for each row in the column python
            Asked 2021-Sep-08 at 09:17

            I have a code like this

            ...

            ANSWER

            Answered 2021-Sep-03 at 19:41

            I ran the code, but as I don't have the necessary tokenizer packages installed, I couldnt get that to run. Instead, I ran a simpler function below:

            Source https://stackoverflow.com/questions/69043931

            QUESTION

            xpath selector returns empty values
            Asked 2021-Aug-23 at 17:19

            i'm trying to manipulate text from all spans under "critical-product-marquee-container" div using python, selenium and xpath selector.

            ...

            ANSWER

            Answered 2021-Aug-23 at 09:15

            basically that's marquee in HTML5, so you have to explicitly wait for each elements.

            Code :

            Source https://stackoverflow.com/questions/68889611

            QUESTION

            Validation accuracy is much less than Training accuracy
            Asked 2021-Aug-20 at 08:25

            I am using MOSI dataset for the multimodal sentiment analysis, where for now I am training the model for text dataset only. For text, I am using glove embeddings of 300 dimensions for processing text. My total vocab size is 2173 and my padded sequence length is 30. My target array is [0,0,0,0,0,0,1] where left most is highly -ve and right most highly +ve.

            I am splitting the dataset like this

            X_train, X_test, y_train, y_test = train_test_split(WDatasetX, y7, test_size=0.20, random_state=42)

            My tokenization process is

            ...

            ANSWER

            Answered 2021-Aug-11 at 19:22

            A large difference between Train and Validation stats typically indicates overfitting of models to the Train data.

            To minimize this I do a few things

            1. reduce the size of the model.
            2. Add a few dropout or similar layers in the model. I have had good success with using these layers: layers.LeakyReLU(alpha=0.8),

            See guidance here: https://www.tensorflow.org/tutorials/keras/overfit_and_underfit#strategies_to_prevent_overfitting

            Source https://stackoverflow.com/questions/68716219

            QUESTION

            AttributeError: 'Word2Vec' object has no attribute 'most_similar' (Word2Vec)
            Asked 2021-Aug-06 at 19:59

            I am using Word2Vec and using a wiki trained model that gives out the most similar words. I ran this before and it worked but now it gives me this error even after rerunning the whole program. I tried to take off return_path=True but im still getting the same error

            ...

            ANSWER

            Answered 2021-Aug-06 at 18:44

            You are probably looking for .wv.most_similar, so please try:

            Source https://stackoverflow.com/questions/68676637

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install glove

            You can install using 'pip install glove' or download it from GitHub, PyPI.
            You can use glove like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
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            pip install glove

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            gh repo clone JonathanRaiman/glove

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            git@github.com:JonathanRaiman/glove.git

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