Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research
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Apr 8, 2023 - Python
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facebook-research
Here are 9 public repositories matching this topic...
A small walkthrough of Facebook's TransCoder Pretrained model for Code Conversion
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May 29, 2021 - Jupyter Notebook
Unofficial PyTorch implementation of the paper - Dynamic Meta-Embeddings for Improved Sentence Representations, EMNLP 2018
natural-language-processing word-embeddings pytorch paper-implementations emnlp2018 facebook-research
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Mar 8, 2019 - Python
tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
deep-learning keras classification image-net tensorflow2 facebook-research convnext 2020s-convnets modernized-conv
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Jan 22, 2022 - Jupyter Notebook
FAIR ESM model conversion to ONNX with extra model argument support
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Jul 31, 2021 - Python
Benchmarking energy-efficient optimizations (DepthShrinker, QAT, pruning) on MobileNetV2 using Tiny ImageNet with power-aware evaluation.
deep-learning pruning model-compression mobilenetv2 facebook-research model-optimization quantization-aware-training energy-efficient-deep-learning depthshrinker
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May 2, 2025 - Jupyter Notebook
Chatbot created with Facebook AI Research technology. Built with Flask
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Jan 5, 2022 - HTML
PySlowFast, the official video understanding framework from Facebook AI Research (FAIR), to train, evaluate, and reproduce state-of-the-art video models on the UCF24 action detection dataset. It supports customizable training pipelines, model fine-tuning, and evaluation for video-based action recognition and spatio-temporal localization tasks.
fair spatiotemporal x3d action-recognition video-understanding action-detection i3d facebook-research slowfast mvit masked-autoencoders pyslowfast slowfast-ucf24 non-local-networks
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Oct 27, 2025 - Python
Contextual Thesaurus with Facebook Infersent Embeddings
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Dec 8, 2022 - Python
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