Visualizer for neural network, deep learning and machine learning models
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机器学习相关教程
A MNIST-like fashion product database. Benchmark :point_down:
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
♾ A Graph Visualization Framework in JavaScript.
- graph-drawing
- tree
- network
- graph
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
- interview-questions
- dsa
- dbms
- sql
pix2code: Generating Code from a Graphical User Interface Screenshot
- deep-learning
- datasets
- deep-neural-networks
- front-end-development
Low-code framework for building custom LLMs, neural networks, and other AI models
Graph theory (network) library for visualisation and analysis
- cytoscapejs
- graph-theory
- visualisation
- analysis
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- inpainting
- inpainting-methods
- inpainting-algorithm
- computer-vision
Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
Deep learning library featuring a higher-level API for TensorFlow.
TensorFlow Tutorials with YouTube Videos
Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
Flax is a neural network library for JAX that is designed for flexibility.
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
- sourcerer
- profile
- kotlin
- git
A scikit-learn compatible neural network library that wraps PyTorch
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks