jxzhangjhu Goto Github PK

scaling-laws-openclip

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

score-denoise

:snowflake: Score-Based Point Cloud Denoising (ICCV 2021)

score_flow

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

sdedit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

sdfusion

selcon

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

selfcheckgpt

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

semantic_uncertainty

semi-supervised-flow-pytorch

Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

setfit

Efficient few-shot learning with Sentence Transformers

simcse

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

simplex-gp

Lattice kernels for scalable Gaussian processes in GPyTorch (Simplex-GPs)

sindiffusion

Official Implementation of SinDiffusion: Learning a Diffusion Model from a Single Natural Image

sinf

Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)

siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

sktime

A unified framework for machine learning with time series

sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

small-text

Active Learning for Text Classification in Python

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

smile-mi-estimator

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

sngp-bert-pytorch

This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.

snowballed_hallucination

snvi_repo

Reproduce results from the SVNI paper, Glöckler et al. 2022, ICLR