neuralfit
Pytorch
| neuralfit | Pytorch | |
|---|---|---|
| 1 | 341 | |
| 16 | 78,205 | |
| - | 1.6% | |
| 10.0 | 10.0 | |
| about 1 year ago | 5 days ago | |
| Python | Python | |
| - | BSD 1-Clause License |
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neuralfit
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[P] NeuralFit now allows evolution of recurrent neural networks
Hi all! Some time ago I made a post about NeuralFit (https://github.com/neural-fit/neuralfit), which allows you to evolve neural networks with just a few lines of code.
Pytorch
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Clasificador de imĂĄgenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbotđŁđž
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 âprimalâ, is associated with a âdirectionâ tensor, which we call âtangentâ, the resultant new tensor object is called a âdual tensorâ 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?
spaCy - đ« Industrial-strength Natural Language Processing (NLP) in Python
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 SzabadfogĂĄsĂș SzĂĄmĂtĂłgĂ©p" competition in 2020.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
ivy - The Unified AI Framework
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
neataptic - :rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
flax - Flax is a neural network library for JAX that is designed for flexibility.
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
tinygrad - You like pytorch? You like micrograd? You love tinygrad! â€ïž [Moved to: https://github.com/tinygrad/tinygrad]
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
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java