jerpint / cnn-cheatsheetLinks
animations for visualizing operations in CNNs
☆25Updated 5 years ago
Alternatives and similar repositories for cnn-cheatsheet
Users that are interested in cnn-cheatsheet are comparing it to the libraries listed below
Sorting:
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- 3 Minutes Machine Learning☆16Updated 2 years ago
- AI Summer's complete catalog of articles☆111Updated 3 years ago
- An Easy To Use PyTorch Computer Vision Library☆52Updated 2 years ago
- 🦅 Deep Learning awesome cheatsheet☆29Updated last year
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆30Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 6 months ago
- Lecture notes & Exercises☆45Updated 2 years ago
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆30Updated 5 years ago
- Create real-time plots in Jupyter Notebooks.☆142Updated 2 years ago
- Automatic neural network visualizations generated in your browser!☆155Updated 3 weeks ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- ☆36Updated 3 years ago
- ☆27Updated 2 years ago
- A collection of Hyper parameter tuning library.☆41Updated 5 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆37Updated 3 years ago
- MLFlow End to End Workshop at Chandigarh University☆11Updated 2 years ago
- Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.☆120Updated last year
- Utilities for simple needs☆27Updated last month
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 3 years ago
- An interactive guide to the Fourier-Transform.☆26Updated 8 months ago
- Basic guidance on how to contribute to Papers with Code☆23Updated 3 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 4 years ago
- Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)☆53Updated last year
- A survey of all the 'X is all you need'☆74Updated 4 years ago
- Experiments dashboard for LabML☆18Updated 2 years ago
- ☆26Updated 2 years ago
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆123Updated 6 months ago