will-thompson-k / tldr-transformersLinks
The "tl;dr" on a few notable transformer papers (pre-2022).
☆190Updated 2 years ago
Alternatives and similar repositories for tldr-transformers
Users that are interested in tldr-transformers are comparing it to the libraries listed below
Sorting:
- Docs☆143Updated 11 months ago
- Visualising the Transformer encoder☆111Updated 5 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, …☆296Updated last year
- A list of extensions for the fastai library.☆160Updated 4 years ago
- MinT: Minimal Transformer Library and Tutorials☆259Updated 3 years ago
- Lite Inference Toolkit (LIT) for PyTorch☆161Updated 3 years ago
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers☆224Updated last year
- Create interactive textual heat maps for Jupiter notebooks☆196Updated last year
- ☆104Updated 4 years ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated 2 years ago
- http://nlp.seas.harvard.edu/2018/04/03/attention.html☆62Updated 4 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- Annotations of the interesting ML papers I read☆263Updated last month
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆209Updated 3 years ago
- Robustness Gym is an evaluation toolkit for machine learning.☆443Updated 3 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- Use fastai-v2 with HuggingFace's pretrained transformers☆110Updated 5 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 3 years ago
- Live Python Notebooks with any Editor☆277Updated 2 years ago
- A collection of inference modules for fastai2☆90Updated 3 years ago
- A minimal implementation of autograd (in pure Python) 🍰☆96Updated 4 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning☆193Updated 4 years ago
- ☆136Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆338Updated last year
- A queue service for quickly developing scripts that use all your GPUs efficiently☆88Updated 3 years ago
- Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.☆159Updated 4 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆250Updated 3 weeks ago