MikroTik RouterOS
pfSense
OpenWrt
OPNsense
VyOS
IPFire
Gargoyle
FRRouting
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
Pandas
MikroTik RouterOS PyTorchsince 2 years they didn't fix bugs that block the router from the internet
Based on our record, PyTorch should be more popular than MikroTik RouterOS. It has been mentiond 106 times since March 2021. 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.
Anyone using Mikrotik these days? Been Mikro-curious for awhile and always see them thrown around as a Unifi alternative. Yet to hear of any firsthand implementations though. [0] https://mikrotik.com/. - Source: Hacker News / 6 months ago
I keep reading it as the networking hardware company Mikrotik. Source: about 1 year ago
The "Buy" link at the top of mikrotik.com - this is how most hardware vendors with a distribution network have their site set up. Source: over 1 year ago
Or Mikrotik from Latvia, for switching/routing: Https://mikrotik.com/. Source: over 1 year ago
There is way to get default to do whatewer you want (including preseted VLAN on some port): Get some config, which you'd like to use as default Login to mikrotik.com Use branding section to get packet, which can be installed on any RoS to change default config and some other things. Source: over 1 year ago
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... - Source: dev.to / about 1 month ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
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. - Source: dev.to / 3 months ago
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. - Source: dev.to / 2 months ago
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. - Source: dev.to / 2 months ago
pfSense - pfSense is a free and open source firewall and router that also features unified threat management, load balancing, multi WAN, and more
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.
OpenWrt - OpenWrt is an open-source firmware based on Linux for wireless routers
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
OPNsense - OPNsense® you next open source firewall. Free Download. High-end Security Made Easy™. Offers Intrusion Prevention, Captive Portal, Traffic Shaping and more.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.