fastText
Pytorch
fastText | Pytorch | |
---|---|---|
8 | 340 | |
25,505 | 78,016 | |
- | 1.4% | |
6.0 | 10.0 | |
about 2 months ago | 5 days ago | |
HTML | Python | |
MIT License | BSD 1-Clause License |
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fastText
- FastText Repo Archived
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Pixelfed and Naive Bayes: The Grandfather of Spam Filters Still Making Waves
- trained with cross-entropy, meaning that model scores can be used more effectively as a 'confidence' - e.g. for spam if you want to say something like "if prediction score > X, then filter", Naive Bayes is not ideal due to the 'naive' assumption which makes the scores very un-calibrated (it tends to give extremely high or low confidence scores for most things).
disclaimer: I haven't really thought about NLP for about 3 years so there may be something better than this now
[1] https://github.com/facebookresearch/fastText
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How worried are you about AI taking over music?
fasttext 50
- FLiP Stack Weekly for 06-Jan-2023
- Fasttext: Library for efficient text classification and representation learning
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Reverse Language Reconstructing by Consensus [D] [P]
https://github.com/facebookresearch/fastText the readme may have what I need built in. But not sure. I hate ML documentation. I would love to see data input to data output examples because people expect us to understand their line of thought, and it just doesn't work out that way. This looks like what I need, but I've completely misinterpreted ML documentation many times. Ha
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Virtual Sommelier, text classifier in the browser
To use the model trained with FastText from the browser, it is necessary to load it via WebAssembly. However, you don't require a WebAssembly knowledge as you can use the fasttext.js file which has all the glue code.
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Synonyms.vim: feedback needed.
Having the backend code in the plugin repo, and in python held me off. I wrote it to split vimscript/python from the command that finds the info, as it allows to use powerful tools like fasttext rather than a dictionary.
Pytorch
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Clasificador de imágenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbot📣🈸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
Opus-MT - Open neural machine translation models and web services
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
synonyms.vim - Finding synonyms of words within vim, save time going back and forth to thesaurus.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
talk - Group video call for the web. No signups. No downloads. [Moved to: https://github.com/vasanthv/tlk]
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
TRIME - [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
flax - Flax is a neural network library for JAX that is designed for flexibility.
Gauss - Stable Diffusion macOS native app
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
React - The library for web and native user interfaces.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more