GitHub - facebookresearch/Pearl: A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - facebookresearch/MetaCLIP: ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP.
This repository contains the code for the MetaCLIP, described in the paper Demystifying CLIP Data that formalizes CLIP data curation as a simple algorithm. The main contributions are: Curating data from scratch without filtering via prior models (e.g., different from existing open source efforts ) that uses the original CLIP model as a teacher for filtering student data. Making training data more
GitHub - facebookresearch/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers: List of implemented papers Convolutional Neural Networks (CNN) Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)
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リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
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Pre and post processing
Guidelines to choose an index
GitHub - facebookresearch/segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
GitHub - facebookresearch/xformers: Hackable and optimized Transformers building blocks, supporting a composable construction.
