deep-learning-indaba / indaba-pracs-2022Links
Notebooks for the Practicals at the Deep Learning Indaba 2022.
☆175Updated last year
Alternatives and similar repositories for indaba-pracs-2022
Users that are interested in indaba-pracs-2022 are comparing it to the libraries listed below
Sorting:
- All about the fundamental blocks of TF and JAX!☆275Updated 3 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆238Updated last year
- Lightning Bits: Engineering for Researchers repo☆132Updated 2 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆172Updated 3 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 3 years ago
- All about the fundamentals and working of Diffusion Models☆158Updated 2 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆52Updated 2 years ago
- Notebooks for the Practicals at the Deep Learning Indaba 2023.☆126Updated last year
- deep learning with pytorch lightning☆1Updated 8 months ago
- ☆152Updated 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆170Updated 3 years ago
- Course notebooks for GANs specializations☆119Updated last year
- Notebooks for the Practicals at the Deep Learning Indaba 2024.☆67Updated 10 months ago
- ☆136Updated 2 years ago
- 30 Days GANs Paper Reading☆44Updated 2 years ago
- Representation Learning MSc course Summer Semester 2023☆80Updated 2 years ago
- Deep Learning Fundamentals -- Code material and exercises☆384Updated last year
- 100 exercises to learn JAX☆583Updated 3 years ago
- Infographic about the inner computations of a transformer model, training and inference☆86Updated last year
- In this repository we have all the codes that we have developed☆12Updated last year
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆323Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated 2 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆82Updated last year
- Highly commented implementations of Transformers in PyTorch☆136Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packt☆161Updated last year
- NYU Deep Learning Fall 2022☆61Updated 10 months ago
- Kaggle Pipeline for tabular data competitions☆207Updated last year
- A walkthrough of transformer architecture code☆351Updated last year