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facebookresearch / Sam2The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
facebookresearch / Sam3The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
facebookresearch / Sam AudioThe repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
cbfinn / MamlCode for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
dragen1860 / MAML PytorchElegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
kevmo314 / Magic CopyMagic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
facebookresearch / ChameleonRepository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
llmgenai / LLMInterviewQuestionsThis repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
facebookexperimental / RobynRobyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
kaz-Anova / StackNetStackNet is a computational, scalable and analytical Meta modelling framework
liliu-avril / Awesome Segment AnythingThis repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
tristandeleu / Pytorch Maml RlReinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
randaller / Llama ChatChat with Meta's LLaMA models at home made easy
AntreasAntoniou / HowToTrainYourMAMLPytorchThe original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
cbfinn / Maml RlCode for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
facebookresearch / MHRMomentum Human Rig is an anatomically-inspired parametric full-body digital human model developed at Meta. It includes: A parametric body skeletal model; A realistic 3D mesh skinned to the skeleton with levels of detail;A body blendshape and pose corrective model; A facial blendshape model.Its design is friendly for both CG and CV communities.
TidierOrg / Tidier.jlMeta-package for data analysis in Julia, modeled after the R tidyverse.
SpeechifyInc / Meta VoiceboxImplementation of Meta-Voicebox : The first generative AI model for speech to generalize across tasks with state-of-the-art performance.
JeffreyYH / Awesome Generalist Robots Via Foundation ModelsPaper list in the survey paper: Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
kodeine / Laravel MetaFluent Meta Data for Eloquent Models, as if it is a property on your model
