Python_NN VS Deep-Learning-Computer-Vision

Compare Python_NN vs Deep-Learning-Computer-Vision and see what are their differences.

Python_NN

A short NumPy library for training neural networks, intended for learning purposes. (by theo2021)
Machine Learning machine-learning-algorithms Python neural-networks Numpy
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Deep-Learning-Computer-Vision

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020. (by seloufian)
Computer Vision visual-recognition Machine Learning Deep Learning convolutional-neural-networks Python Numpy Pytorch assignment stanford michigan cs231n cs231n-assignment eecs498-007
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Python_NN Deep-Learning-Computer-Vision
1 1
0 106
- -
0.0 2.6
almost 2 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only -
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Python_NN

Posts with mentions or reviews of Python_NN. We have used some of these posts to build our list of alternatives and similar projects.
  • Difficulty in using LSTMs for text generation
    1 project | /r/pytorch | 23 May 2021
    About the issue with repeating characters, it is supposed to happen. There are certain loops that repeat. To solve this you must remove the line q1 = np.argmax(p1.cpu(), axis=1)[-1].item() and instead, do sampling based on the softmax probabilities. Check this code where I perform sampling. The vec = vec**(2) is used to decrease randomness you can see how your model works and either keep it or leave it.

Deep-Learning-Computer-Vision

Posts with mentions or reviews of Deep-Learning-Computer-Vision. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Python_NN and Deep-Learning-Computer-Vision you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

pytorch-implementations - A collection of paper implementations using the PyTorch framework

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

ml-mipt - Former repository of ML course. Redirect link included

ml-course - Open Machine Learning course

rl-trading - Using Reinforcement Learning agents as Algorithmic Traders

ILearnDeepLearning.py - This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Deep-Learning-Computer-Vision vs cs231n Deep-Learning-Computer-Vision vs stanford-CS229 Deep-Learning-Computer-Vision vs ktrain Deep-Learning-Computer-Vision vs computervision-recipes Deep-Learning-Computer-Vision vs Face-Mask-Detection Deep-Learning-Computer-Vision vs pytorch-implementations Deep-Learning-Computer-Vision vs HugsVision Deep-Learning-Computer-Vision vs ml-mipt Deep-Learning-Computer-Vision vs ml-course Deep-Learning-Computer-Vision vs rl-trading Deep-Learning-Computer-Vision vs ILearnDeepLearning.py