paulbricman / python-sirajnet
☆324Updated this week
Related projects: ⓘ
- Tutorial for International Summer School on Deep Learning, 2019☆316Updated 2 years ago
- Tricks for Colab power users☆170Updated 4 years ago
- ☆258Updated this week
- The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761☆284Updated 4 years ago
- ☆70Updated this week
- Testing framework to simplify writing ML unit tests.☆346Updated 4 years ago
- OLD REPO - PLEASE USE fastai/fastai☆179Updated last year
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆205Updated last year
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆261Updated 5 years ago
- ☆168Updated 5 years ago
- NLP library designed for reproducible experimentation management☆291Updated last month
- Deep learning with text doesn't have to be scary.☆275Updated last year
- Representing research papers as vectors / latent representations.☆198Updated 3 years ago
- AI/ML citation graph with postgres + graphql☆188Updated 4 years ago
- A cleaner way to build neural networks for PyTorch.☆185Updated 4 years ago
- Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19☆360Updated 4 years ago
- HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!☆710Updated 4 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆175Updated 2 years ago
- PyTorch implementations of recent optimization algorithms for deep learning.☆61Updated 4 years ago
- Practical Notebooks for the Deep Learning Indaba 2018☆143Updated 6 years ago
- ☆196Updated last month
- 📝🔍 A browser extension that displays the GPT-2 Log Probability of selected text☆113Updated last year
- A python module of handy tools and functions, mainly for ML and Kaggle☆332Updated 3 years ago
- Explains nlp building blocks in a simple manner.☆251Updated 4 years ago
- retrain gpt-2 in colab☆226Updated 5 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆568Updated 2 years ago
- This repository contains information about Cloud GPU offerings for Machine Learning practitioners.☆458Updated 3 years ago
- An intuitive approach to creating deep learning models☆370Updated last year
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers☆202Updated 9 months ago
- Starter app for fastai v3 model deployment on Render☆215Updated last year