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Starred repositories
A latent text-to-image diffusion model
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Probabilistic reasoning and statistical analysis in TensorFlow
Jupyter notebooks from the scikit-learn video series
A Haskell kernel for the Jupyter project.
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Notebooks about Bayesian methods for machine learning
Open-source implementation of Google Vizier for hyper parameters tuning
A few exercises for use at events.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Demonstrations of Magenta Models
A Stable Diffusion desktop frontend with inpainting, img2img and more!
Python Helper library for Jupyter Notebooks
Completed the CS231n 2017 spring assignments from Stanford university
A collection of deep learning models implemented in PyTorch
Privacy-preserving generative deep neural networks support clinical data sharing
Follow along repo for the eponymously named youtube playlist
Experiments for Jeremy Howard's deep learning courses