raccoon_dataset
Pytorch
| raccoon_dataset | Pytorch | |
|---|---|---|
| 1 | 341 | |
| 1,266 | 78,205 | |
| - | 1.6% | |
| 0.0 | 10.0 | |
| over 2 years ago | 5 days ago | |
| Jupyter Notebook | Python | |
| MIT License | BSD 1-Clause License |
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raccoon_dataset
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10 Deep Learning Projects (Beginner & Advanced)
Raccoon Dataset Annotated Driving Dataset
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?
SKAB - SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
mac-miller-lyrics-dataset - Dataset with lyrics from Mac Miller
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
clusterdata - cluster data collected from production clusters in Alibaba for cluster management research
flax - Flax is a neural network library for JAX that is designed for flexibility.
self-driving-car - The Udacity open source self-driving car project
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
examples - TensorFlow examples
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