- awesome-embedding-models VS xgboost
- awesome-embedding-models VS Keras
- awesome-embedding-models VS tensorflow
- awesome-embedding-models VS LightFM
- awesome-embedding-models VS scikit-learn
- awesome-embedding-models VS gym
- awesome-embedding-models VS PyBrain
- awesome-embedding-models VS H2O
- awesome-embedding-models VS Prophet
- awesome-embedding-models VS TFLearn
Awesome-embedding-models Alternatives
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xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Mergify
Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.
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tensorflow
An Open Source Machine Learning Framework for Everyone
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm.
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gym
A toolkit for developing and comparing reinforcement learning algorithms.
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Prophet
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towhee
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better awesome-embedding-models alternative or higher similarity.
awesome-embedding-models reviews and mentions
Posts with mentions or reviews of awesome-embedding-models.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-16.
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Any good libraries for feature extraction?
Traditionally, I've done this through PyTorch by adding a hook, but this requires knowledge of the model itself (i.e. model arch and layer names). I found https://github.com/Hironsan/awesome-embedding-models but it didn't provide many CV-focused open-source projects. There's also https://github.com/towhee-io/towhee which is great but more targeted towards application development.
Stats
Basic awesome-embedding-models repo stats
1
1,644
0.0
over 4 years ago
Hironsan/awesome-embedding-models is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of awesome-embedding-models is Jupyter Notebook.
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