The-AI-Summer / deep-learning-visualsLinks
A collection of 100 Deep Learning images and visualizations
☆78Updated 3 years ago
Alternatives and similar repositories for deep-learning-visuals
Users that are interested in deep-learning-visuals are comparing it to the libraries listed below
Sorting:
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- A curated list of bootcamps and platforms to learn Machine Learning and Data Science☆16Updated 4 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 3 years ago
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 3 years ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- Semantic Segmentation with Pytorch-Lightning☆63Updated 4 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆137Updated 5 years ago
- Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io☆43Updated 3 years ago
- Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.☆41Updated 3 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- This is the solution for Kaggle human protein classification competition.☆12Updated 3 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆24Updated 5 years ago
- Automated machine learning: Review of the state-of-the-art and opportunities for healthcare☆41Updated 4 years ago
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 4 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆41Updated 3 years ago
- Information for readers of the fastai book☆68Updated 4 years ago
- Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch☆130Updated 3 years ago
- An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")☆38Updated 2 years ago
- A project for implementing ML and NLP papers☆13Updated 5 years ago
- A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs.…☆75Updated 4 years ago
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- Lazy Profiler is a simple utility to collect CPU, GPU, RAM and GPU Memory stats while the program is running.☆35Updated 4 years ago
- 1st place solution for CGIAR Wheat Growth Stage Challenge☆54Updated 4 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- Utilities for simple needs☆26Updated last week
- A set of jupyter notebooks on pytorch functions with examples☆161Updated 5 years ago
- Image marine sea litter prediction Shiny☆21Updated 4 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago