IbrahimSobh / Practical-DRLLinks
This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
☆99Updated 5 years ago
Alternatives and similar repositories for Practical-DRL
Users that are interested in Practical-DRL are comparing it to the libraries listed below
Sorting:
- Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras☆74Updated 5 years ago
- Deep Learning: Image classification, feature visualization and transfer learning with Keras☆124Updated 5 years ago
- In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design …☆70Updated 3 years ago
- Transformers and related deep network architectures are summarized and implemented here.☆216Updated 2 years ago
- TPUs are powerful hardware accelerators specialized in deep learning tasks, now available on Kaggle. https://ibrahimsobh.github.io/kaggle…☆14Updated 5 years ago
- In this tutorial, you will perform inference across 10 well-known pre-trained semantic segmentors and fine-tune on a custom dataset. Desi…☆75Updated 3 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆159Updated 4 years ago
- This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)☆69Updated 5 years ago
- Curated educational list for computer vision☆137Updated last month
- My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity☆63Updated 3 years ago
- All the code files related to the deep learning course from PadhAI☆102Updated 5 years ago
- 30 Days GANs Paper Reading☆45Updated 2 years ago
- Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch☆130Updated 2 months ago
- Course: Deep Learning☆195Updated last year
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆57Updated 7 years ago
- Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization☆31Updated 5 years ago
- This repo contains my solution to the 5-course Coursera Deep Learning Specialization created by prof. Andrew Ng and deeplearning.ai incor…☆33Updated 6 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25Updated 5 years ago
- AI Summer's complete catalog of articles☆113Updated 4 years ago
- Different Generative Adversarial Networks☆24Updated 4 years ago
- Projects and exercises for the Udacity Computer Vision Nanodegree☆133Updated 7 years ago
- Courses and MOOCs☆68Updated 4 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆64Updated 7 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆83Updated last year
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆56Updated 7 months ago
- jupyter blog☆131Updated 2 years ago
- The repository is dedicated towards the implementation of Computer Vision.☆25Updated 3 years ago
- COVID-19 is an infectious disease. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on…☆38Updated 5 years ago
- ☆25Updated 2 years ago
- Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Process…☆95Updated 5 years ago