🦜🔗 Build context-aware reasoning applications

Google Research

Instruct-tune LLaMA on consumer hardware

Companion webpage to the book "Mathematics For Machine Learning"

This repository contains implementations and illustrative code to accompany DeepMind publications

PRML algorithms implemented in Python

Code release for NeRF (Neural Radiance Fields)

A collection of pre-trained, state-of-the-art models in the ONNX format

Taming Transformers for High-Resolution Image Synthesis

links to conference publications in graph-based deep learning

Acceptance rates for the major AI conferences

[ICCV 2019] Monocular depth estimation from a single image

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

Repository for benchmarking graph neural networks (JMLR 2023)

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

A dataset of datasets for learning to learn from few examples

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

Bayesian Deep Learning Benchmarks

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)