Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research
-
Updated
Apr 8, 2023 - Python
Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research
A small walkthrough of Facebook's TransCoder Pretrained model for Code Conversion
Unofficial PyTorch implementation of the paper - Dynamic Meta-Embeddings for Improved Sentence Representations, EMNLP 2018
tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
FAIR ESM model conversion to ONNX with extra model argument support
Chatbot created with Facebook AI Research technology. Built with Flask
Benchmarking energy-efficient optimizations (DepthShrinker, QAT, pruning) on MobileNetV2 using Tiny ImageNet with power-aware evaluation.
Contextual Thesaurus with Facebook Infersent Embeddings
Add a description, image, and links to the facebook-research topic page so that developers can more easily learn about it.
To associate your repository with the facebook-research topic, visit your repo's landing page and select "manage topics."