zaidalyafeai / NotebooksLinks
Machine learning notebooks in different subjects optimized to run in google collaboratory
☆372Updated 5 years ago
Alternatives and similar repositories for Notebooks
Users that are interested in Notebooks are comparing it to the libraries listed below
Sorting:
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- UI visual interface for fastai - now compatible with Google Colab☆249Updated last month
- Contains my explorations of TensorFlow 2.x☆380Updated 3 years ago
- ☆169Updated 6 years ago
- This repository provides the necessary code to create your own Google Images Dataset.☆115Updated 6 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Starter app for fastai v3 model deployment on Render☆219Updated 2 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆66Updated 6 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆145Updated 5 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆935Updated last year
- ☆107Updated 7 years ago
- YOLOv2 Object Detection w/ Keras (in just 20 lines of code)☆328Updated 6 years ago
- Image classification for everyone.☆216Updated last year
- A library make TensorBoard working in Colab Google☆147Updated 6 years ago
- BiGAN implementation in Keras to detect similarities in Landscapes.☆174Updated 6 years ago
- An intuitive approach to creating deep learning models☆373Updated 2 years ago
- Notebooks for upcoming fastai book (draft / incomplete)☆162Updated 5 years ago
- 🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.☆176Updated 8 months ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 5 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Machine Learning Conference & Summer School Notes. 🦄☆573Updated 4 years ago
- PyTorch Tutorial (1.7)☆457Updated 4 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆92Updated 2 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- "Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation☆70Updated 6 years ago
- ☆212Updated 4 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- The Roadmap to Learn Generative Adversarial Networks (GANs)☆392Updated 4 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆264Updated 6 years ago
- This repository contains information about Cloud GPU offerings for Machine Learning practitioners.☆465Updated 4 years ago