Tool category: Frameworks
COVID-19 Forecasting
These forecasts are developed using public, non-Facebook data and are a tool to support our global efforts to keep people informed as the pandemic evolves.
DynaBench
DynaBench is a research platform for dynamic data collection and benchmarking. Static benchmarks have well-known issues: they saturate quickly, are susceptible to overfitting, contain exploitable annotator artifacts and have unclear or imperfect evaluation metrics.
Ego4D
Ego4D is a collaborative project, seeking to advance the fundamental AI research needed for multimodal machine perception for first-person video understanding.
FAISS
FAISS (Facebook AI Similarity Search) is a library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other. It solves limitations of traditional query search engines that are optimized for hash-based searches, and provides more scalable similarity search functions.
Glow
Glow is a machine learning compiler that accelerates the performance of deep learning frameworks on different hardware platforms.
ONNX
ONNX is an open format built to represent machine learning models. ... Intel AI. MathWorks. Maxar. Mediatek. Xiaomi. Microsoft. MosaicML.
PyTorch
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
StarSpace
StarSpace is a general purpose neural embedding model that can be applied to a number of machine learning tasks.
Tensor Comprehensions
Tensor Comprehensions (TC) accelerates development by automatically generating efficient GPU code from high-level mathematical operations.
Visdom
Visdom is a visualization tool that generates rich visualizations of live data to help researchers and developers stay on top of their scientific experiments that are run on remote servers. Visualizations in Visdom can be viewed in browsers and easily shared with others.