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safetensors-1

SImple, safe way to store and distribute tensors

sagemaker-gpt-j

sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

samila

Generative Art Generator

sample-generator

Tools to train a generative model on arbitrary audio samples

sample-huggingface-sagemaker-cdk

sar_transformer

saxpy

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

sbu-qa

This repository uses pretrain BERT embeddings for transfer learning in QA domain

sc-gpt

Few-shot Natural Language Generation for Task-Oriented Dialog

scaling-zero-shot-retrieval

No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval

scalingqa

Official repository containing the training scripts for R2-D2, and for pruning the index content

scattertext

Beautiful visualizations of how language differs among document types.

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

science-fair2022

scifive

SciFive: a text-text transformer model for biomedical literature

scikit-learn

scikit-learn: machine learning in Python

scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

scoot_bart

score

A Self-Consistent Robust Error

screenshot-to-code

A neural network that transforms a design mock-up into a static website.

sd-qa

sdv

Synthetic Data Generation for tabular, relational and time series data.

se-pytorch-xla

se3-transformer-pytorch

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

seal

Search Engines with Autoregressive Language models

seam-carving

A fast Python implementation of Seam Carving for Content-Aware Image Resizing.

seaugment

Data augment for speech enhancement

secretflow

A unified framework for privacy-preserving data analysis and machine learning