IntroDLPython
DeepNeuralNetworksFromScratch
| IntroDLPython | DeepNeuralNetworksFromScratch | |
|---|---|---|
| 1 | 1 | |
| 31 | 8 | |
| - | - | |
| 1.2 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| - | MIT 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.
IntroDLPython
-
A Comprehensive Guide to the Backpropagation Algorithm in Neural Networks
Also, we’ll discuss how to implement a backpropagation neural network in Python from scratch using NumPy, based on this GitHub project. The project builds a generic backpropagation neural network that can work with any architecture.
DeepNeuralNetworksFromScratch
-
Yet Another Deep Neural Network Library From Scratch Library (pure NumPy and Numba)
Deep Neural Networks From Scratch
What are some alternatives?
DiffMorph - Image morphing without reference points by applying warp maps and optimizing over them.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
dl-4-tsc - Deep Learning for Time Series Classification
Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
Convolution-From-Scratch - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
pyradox - State of the Art Neural Networks for Deep Learning