javacpp-presets
Pytorch
Our great sponsors
javacpp-presets | Pytorch | |
---|---|---|
9 | 336 | |
2,574 | 77,783 | |
1.3% | 2.4% | |
8.1 | 10.0 | |
15 days ago | 2 days ago | |
Java | Python | |
GNU General Public License v3.0 or later | BSD 1-Clause License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
javacpp-presets
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JavaCPP and presets for working with JNI
- Any good acceptable pure Java OCR libraries?
- image/video streaming library for kotlin?
- OCR, find text in image library ?
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Which library is h264_nvenc found under?
Specifically looking at https://github.com/bytedeco/javacpp-presets/pull/492
- Does Java has similar project like this one in C#? (ml, data)
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How to download a Youtube video in MP3-format
You would still want to use an mp3 encoding library. javacpp is active and often recommended.
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should i use java as gui or use just use python as gui and training and testing model
I experienced such a bad time last time I tried to make a Python UI with Kivy that next time I’m definitely going with JavaFX and the CPython javacpp-preset to run the deep learning code.
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Is there any remotely modern +working alternative to integrating MP3 or OGG Vorbis support?
How about https://github.com/bytedeco/javacpp-presets/tree/master/ffmpeg
Pytorch
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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():
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Building a GPT Model from the Ground Up!
import torch # we use PyTorch: https://pytorch.org data = torch.tensor(encode(text), dtype=torch.long) print(data.shape, data.dtype) print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
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Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
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Element-wise vs Matrix vs Dot multiplication
In PyTorch with * or mul(). ` or mul()` can multiply 0D or more D tensors by element-wise multiplication:
What are some alternatives?
JavaCV - Java interface to OpenCV, FFmpeg, and more
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
youtubedl-android - youtube-dl for android
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
opus-java - Opus java binaries
flax - Flax is a neural network library for JAX that is designed for flexibility.
api-swgoh-help - Java client wrapper for the API at https://api.swgoh.help
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
instancio - A library that creates fully populated objects for your unit tests.
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