PyTorch: An Imperative Style, High-Performance Deep Learning Library
Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library that shows that these two goals are in fact compatible: it provides an imperative and Pythonic programming style that supports code as a model, makes debugging easy and is consistent with other popular scientific computing libraries, while remaining efficient and supporting
Evaluating the Factual Consistency of Abstractive Text Summarization
Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents. We propose a weakly-supervised, model-based approach for verifying factual consistency and identifying conflicts between source documents and a generated summary. Training data is generated by applying a series of rule-based transformations to the sente
Metaflow - a framework for real-life ML, AI, and data science
A framework for real-life ML, AI, and data science Open-source Metaflow makes it quick and easy to build and manage real-life ML, AI, and data science projects. Modeling Use any Python libraries for models and business logic. Metaflow helps manage library dependencies, locally and in the cloud. Deployment Deploy workflows to production with a single command and integrate with other systems through
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods have enjoyed huge success in challenging domains, such as chess and Go, where a perfect simulator is available. However, in real-world problems the dynamics governing the environment are often complex and unknown. In this work we present the
DeepFovea: Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos - Meta Research | Meta Research
DeepFovea: Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural VideosACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia In order to provide an immersive visual experience, modern displays require head mounting, high image resolution, low latency, as well as high refresh rate. This poses a challenging com
Pushing state-of-the-art in 3D content understanding
In order to interpret the world around us, AI systems must understand visual scenes in three dimensions. This need extends beyond robotics, navigation, and even augmented reality applications. Even with 2D photos and videos, the scenes and objects depicted are themselves three-dimensional, of course, and truly intelligent content-understanding systems must be able to recognize the geometry of a cu
Hydra | Hydra
No boilerplateHydra lets you focus on the problem at hand instead of spending time on boilerplate code like command line flags, loading configuration files, logging etc. Powerful configurationWith Hydra, you can compose your configuration dynamically, enabling you to easily get the perfect configuration for each run. You can override everything from the command line, which makes experimentation fa
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Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design
Classy Vision · An end-to-end framework for image and video classification
Stabilizing Transformers for Reinforcement Learning
GitHub - facebookresearch/Horizon: A platform for Applied Reinforcement Learning (Applied RL)
GitHub - facebookresearch/MLQA: New dataset
MLCommons | Better AI for Everyone
GitHub - tamarott/SinGAN: Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
GitHub - albumentations-team/albumentations: Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
GitHub - pytorch/captum: Model interpretability and understanding for PyTorch
GitHub - facebookresearch/SlowFast: PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
GitHub - facebookresearch/semi-supervised-ImageNet1K-models: Semi-supervised ImageNet1K models
Is Rectified Adam actually *better* than Adam? - PyImageSearch
New unified model seeks to improve scene and language understanding