Stars
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code release for NeRF (Neural Radiance Fields)
Taming Transformers for High-Resolution Image Synthesis
COCO API - Dataset @ http://cocodataset.org/
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Repository for benchmarking graph neural networks (JMLR 2023)
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
A dataset of datasets for learning to learn from few examples
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
Dataset to assess the disentanglement properties of unsupervised learning methods
Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
A python wrapper for the Visual Genome API
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Unsupervised clustering with (Gaussian mixture) VAEs
Navigating the GAN Parameter Space for Semantic Image Editing
On the "steerability" of generative adversarial networks
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Convert segmentation RGB mask images to COCO JSON format
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML)…
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".