knum-mimuw / CORE-prezentacjeLinks
Zbiór wszystkich prezentacji, które zostały przedstawione na spotkaniach grupy CORE
☆8Updated 3 years ago
Alternatives and similar repositories for CORE-prezentacje
Users that are interested in CORE-prezentacje are comparing it to the libraries listed below
Sorting:
- Seminarium Magisterskie Machine Learning☆26Updated 2 months ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,439Updated 3 months ago
- Crash Course in Reinforcement Learning - ML in PL workshops☆20Updated 5 years ago
- A platform for managing machine learning experiments☆864Updated 3 weeks ago
- Task-based datasets, preprocessing, and evaluation for sequence models.☆583Updated 2 weeks ago
- ML Collections is a library of Python Collections designed for ML use cases.☆968Updated 3 weeks ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- Materiały z warsztatów z podstaw Deep Learningu dla początkujących. Wiosna 2019.☆13Updated 6 years ago
- See the issue board for the current status of active and prospective projects!☆65Updated 3 years ago
- A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, …☆295Updated last year
- Experiment tracking, ML developer tools☆887Updated 3 months ago
- 🤖 A PyTorch library of curated Transformer models and their composable components☆893Updated last year
- Robustness Gym is an evaluation toolkit for machine learning.☆442Updated 3 years ago
- A High Level API for Deep Learning in JAX☆476Updated 2 years ago
- NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations☆787Updated last year
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆73Updated last year
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆610Updated 2 years ago
- Version control for machine learning☆1,671Updated 5 months ago
- Unit Testing for pytorch, based on mltest☆312Updated 4 years ago
- Enabling easy statistical significance testing for deep neural networks.☆336Updated last year
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆574Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,735Updated last week
- Tensors, for human consumption☆1,271Updated last month
- Gin provides a lightweight configuration framework for Python☆2,119Updated 3 months ago
- maximal update parametrization (µP)☆1,579Updated last year
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 3 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,364Updated last year
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆562Updated last year
- Cramming the training of a (BERT-type) language model into limited compute.☆1,344Updated last year
- Interpretability for sequence generation models 🐛 🔍☆432Updated 3 months ago