shellysheynin / Deep-Learning-BookLinks
Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, O…
☆106Updated 3 years ago
Alternatives and similar repositories for Deep-Learning-Book
Users that are interested in Deep-Learning-Book are comparing it to the libraries listed below
Sorting:
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- A collection of 100 Deep Learning images and visualizations☆79Updated 4 years ago
- ☆136Updated 2 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 3 years ago
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 4 years ago
- A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.☆127Updated 3 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆120Updated 2 months ago
- Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch☆130Updated 3 years ago
- Instantly improve your training performance of TensorFlow models with just 2 lines of code!☆106Updated 3 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆341Updated 3 years ago
- This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.☆176Updated 3 years ago
- 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.☆231Updated last year
- HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision☆197Updated last year
- Lecture notes & Exercises☆45Updated 2 years ago
- 30 Days GANs Paper Reading☆45Updated 2 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆238Updated last year
- All about the fundamental blocks of TF and JAX!☆274Updated 3 years ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- Serving PyTorch models with TorchServe☆102Updated 2 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated 2 years ago
- https://slds-lmu.github.io/seminar_multimodal_dl/☆169Updated 2 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- Helpful data preprocessing, training, and visualisation code and scripts for a range of Kaggle competitions, supported by Weights & Biase…☆15Updated 2 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆228Updated 2 weeks ago
- Machine Learning / Deep Learning Environment. Everywhere. Anywhere.☆51Updated 4 years ago
- An open-source AutoML Library based on PyTorch☆306Updated 2 weeks ago
- chaii: hindi and tamil question answering☆35Updated 3 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆87Updated 3 years ago
- ☆24Updated 2 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago