facebookresearch,Meta Research,github

secureflcompression

Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.

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.

segmpred

Predicting Deeper into the Future of Semantic Segmentation

selavi

This repo covers the implementation for Labelling unlabelled videos from scratch with multi-modal self-supervision, which learns clusters from multi-modal data in a self-supervised way.

selective-vqa_ood

Implementation for the CVPR 2023 paper "Improving Selective Visual Question Answering by Learning from Your Peers" (https://arxiv.org/abs/2306.08751)

self_defeating_improvements

Code implementing the experiments of "Fixes That Fail Self-Defeating Improvements in Machine-Learning Systems".

semanticimagetranslation

Evaluation benchmark for the task of Semantic Image Translation. Contains code to run FlexIT (CVPR 2022)

semdedup

Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically similar, but not exactly identical).

semi-discrete-flow

code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"

semi-supervised-imagenet1k-models

Semi-supervised ImageNet1K models

SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or for retrieving paraphrases.

senteval

A python tool for evaluating the quality of sentence embeddings.

shack

A shack for hacklang design

shadow_gnn

NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

shapekt

Compile-time shape checking and inference in Kotlin for tensor code

shepherd

This is the repo for the paper Shepherd -- A Critic for Language Model Generation

shumai

Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight

side

The AI Knowledge Editor

sie

Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations

silk

SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.

simat

codebase for the SIMAT dataset and evaluation

simmc

With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), the annotation schema, the core technical tasks, and the baseline models. The code for the baselines and the datasets will be opensourced.

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