MAGIST-Algorithm
IntroDLPython
| MAGIST-Algorithm | IntroDLPython | |
|---|---|---|
| 1 | 1 | |
| 5 | 31 | |
| - | - | |
| 3.8 | 1.2 | |
| 9 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | - |
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MAGIST-Algorithm
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AI Startup Closer than EVER to GENERAL INTELLIGENCE!
If you want to see this for yourself, please visit our GitHub Repository and website!
IntroDLPython
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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.
What are some alternatives?
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.
DiffMorph - Image morphing without reference points by applying warp maps and optimizing over them.
contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
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.
keras-nlp - Modular Natural Language Processing workflows with Keras
Game-Bot - Artificial intelligence learn playing any game with watching you.