Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
| Date | Stars |
|---|---|
| 2026-07-31 | 875 |
| 2026-08-04 | 875 |
| 2026-08-06 | 876 |
| 2026-08-07 | 875 |
| 2026-08-08 | 875 |
| 2026-08-09 | 876 |
| 2026-08-13 | 876 |
| 2026-08-14 | 876 |
| 2026-08-18 | 876 |
| 2026-08-21 | 877 |
| 2026-08-28 | 878 |
| 2026-09-03 | 879 |
| 2026-09-10 | 878 |
| 2026-09-16 | 877 |
| 2026-09-20 | 877 |
Today
— stars today
This week
-1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Deep Learning Materials by Deep Learning Wizard
<img src="https://img.shields.io/badge/license-MIT-green.svg"/>
[](https://zenodo.org/badge/latestdoi/139945544)
## Start Learning Now
Please head to [www.deeplearningwizard.com](https://www.deeplearningwizard.com/) to start learning! It is mobile/tablet friendly and open-source.
## Repository Details
This repository contains all the notebooks and mkdocs markdown files of the tutorials covering machine learning, deep learning, deep reinforcement learning, data engineering, general programming, and visualizations powering the website.
Take note this is an early work in progress, do be patient as we gradually upload our guides.
## Sections and Subsections
- Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy, Matplotlib and more)
- [Introduction](https://www.deeplearningwizard.com/deep_learning/intro/)
- [Course Progression](https://www.deeplearningwizard.com/deep_learning/course_progression/)
- Practical Deep Learning with PyTorch
- [Matrices](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_matrices/)
- [Gradients](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_gradients/)
- [Linear Regression](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_linear_regression/)
- [Logistic Regression](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_logistic_regression/)
- [Feedforward Neural Network (FNN)](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_feedforward_neuralnetwork/)
- [Convolutional Neural Network (CNN)](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_convolutional_neuralnetwork/)
- [Recurrent Neural Network (RNN)](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_recurrent_neuralnetwork/)
- [Long Short-Term Memory Network (LSTM)](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_lstm_neuralnetwork/)
- [Autoencoders (AE)](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_autoencoder/)
- [Fully Connected Overcomplete Autoencoders](https://www.deeplearningwizard.com/deep_learning/practical_pytorch/pytorch_fc_overcomplete_ae/)
- Improving Deep Learning with PyTorch
- [Derivative, Gradient and Jacobian](https://www.deeplearningwizard.com/deep_learning/boosting_models_pytorch/derivative_gradient_jacobian/)
- [Forward- and Backward-propagation and Gradient Descent (From Scratch FNN Regression)](https://www.deeplearningwizard.com/deep_learning/boosting_models_pytorch/forwardpropagation_backpropagation_gradientdescent/)
- [Learning Rate Scheduling](https://www.deeplearningwizard.com/deep_learning/boosting_models_pytorch/lr_scheduling/)
- [Optimization Algorithms](https://www.deeplearningwizard.com/deep_learning/boosting_models_pytorch/optimizers/)
- [Weight Initialization and Activation Functions](https://www.deeplearningwizard.com/deep_learning/boosting_models_pytorch/weight_initialization_activation_functions/)
- Deep Reinforcement Learning with PyTorch
- [Supervised to Reinforcement Learning](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/supervised_to_rl/)
- [Markov Decision Processes and Bellman Equations](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/bellman_mdp/)
- [Dynamic Programming](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/dynamic_programming_frozenlake/)
- From Scratch Deep Learning with PyTorch/Python
- [From Scratch Logistic Regression Classification](https://www.deeplearningwizard.com/deep_learning/fromscratch/fromscratch_logistic_regression/)
- Compute Optimization
- [Speed OptiExcerpt of 7,729 characters
Read on GitHub
Ritchie Ng · Imperial College London | NUS · Singapore
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c8314a5453a030f0, topic:deep-learning, topic:pytorch
matched fp:c8314a5453a030f0, topic:llamaindex