OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
CUDA Toolkit
TensorFlow
PyTorch
Keras
Scikit-learn
MLKit
Neuton.AI
Kira
OpenCV CUDA ToolkitOpenCV might be a bit more popular than CUDA Toolkit. We know about 59 links to it since March 2021 and only 40 links to CUDA Toolkit. 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.
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 6 days ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 4 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 7 months ago
First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 7 months ago
Nvidia’s CUDA dominance is fading as developers embrace open-source alternatives like Triton and JAX, offering more flexibility, cross-hardware compatibility, and reducing reliance on proprietary software. - Source: dev.to / 3 months ago
Since I have a Nvidia graphics card I utilized CUDA to train on my GPU (which is much faster). - Source: dev.to / 5 months ago
In this post we continue our exploration of the opportunities for runtime optimization of machine learning (ML) workloads through custom operator development. This time, we focus on the tools provided by the AWS Neuron SDK for developing and running new kernels on AWS Trainium and AWS Inferentia. With the rapid development of the low-level model components (e.g., attention layers) driving the AI revolution, the... - Source: dev.to / 6 months ago
Install CUDA Toolkit (only the Base Installer). Download it and follow instructions from Https://developer.nvidia.com/cuda-downloads. - Source: dev.to / 11 months ago
For my fellow Windows shills, here's how you actually build it on windows: Before steps: 1. (For Nvidia GPU users) Install cuda toolkit https://developer.nvidia.com/cuda-downloads 2. Download the model somewhere: https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin In Windows Terminal with Powershell:- Source: Hacker News / almost 2 years agogit clone https://github.com/ggerganov/llama.cpp.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
NumPy - NumPy is the fundamental package for scientific computing with Python
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.