PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
MLKit
NumPy
Darknet
Keras
TFlearn
TensorFlow
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Clarifai
Merlin
PyTorch| Categories |
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| Website | pytorch.org |
| Details $ |
Darknet| Categories |
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| Website | pjreddie.com |
| Details $ |
Based on our record, PyTorch seems to be a lot more popular than Darknet. While we know about 100 links to PyTorch, we've tracked only 3 mentions of Darknet. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
PyTorch: An open-source deep learning framework that facilitates dynamic computational graphs, making it flexible and efficient for research and production. - Source: dev.to / 5 days ago
In this blog post, we will go through a full example and setup a data stream to PyTorch from a playground dataset on a remote database. - Source: dev.to / about 1 month ago
This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX. - Source: dev.to / 3 months ago
The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire. Source: 3 months ago
If you go to https://pytorch.org/, you can choose an installation script tailored to your environment. Source: 3 months ago
This reminds me of the resume for the guy who made darknet Https://pjreddie.com/darknet/. Source: about 1 year ago
Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO). Source: about 2 years ago
Yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda . Source: over 2 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
