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simpletransformers

Transformers made simple with training, evaluation, and prediction possible with one line each. Built on top of the Hugging Face Transformer library.

simsiam

Exploring Simple Siamese Representation Learning

simulate_tcm

skeleton-tracing

A new algorithm for retrieving topological skeleton as a set of polylines from binary images

skeletonmerger

Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

skeltorch

Light-weight framework that helps researchers to prototype faster using PyTorch.

skorecard

scikit-learn compatible tools for building credit risk acceptance models

sktime

A scikit-learn compatible Python toolbox for learning with time series/panel data

sktime-dl

sktime companion package for deep learning based on TensorFlow

skycode-ai-codex-gpt3

SkyCode是一个多语言开源编程大模型，采用GPT3模型结构，支持Java, JavaScript, C, C++, Python, Go, shell等多种主流编程语言，并能理解中文注释。模型可以对代码进行补全，拥有强大解题能力，使您从编程中解放出来，专心于解决更重要的问题。| SkyCode is an open source programming model, which adopts the GPT3 model structure. It supports Java, JavaScript, C, C++, Python, Go, shell and other languages, and can understand Chinese comments.

sl-quant

Companion code for the "Self Learning Quant" blog post

slide_opt_ia

soft-dtw-divergences

An implementation of soft-DTW divergences.

solayhy-gplearn

solving-optimization-problems-with-jax

Solving Optimization Problems with JAX, code and PDF

sonnet

TensorFlow-based neural network library

sortnet

[NeurIPS 2022] A novel 1-Lipschitz network that can be efficiently trained to achieve certified L-infinity robustness for free!

sp500-stock-similarity-time-series

Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.

spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

spaczz

Fuzzy matching and more functionality for spaCy.

spark

Mirror of Apache Spark

spark-in-finance-quantitative-investing

Materials for IBM Spark contest. About the real-world application of big data and spark.

spark_keyu-tian

[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

sparkfe

The native Spark execution engine for AI and Feature Engineering.

sparsegraph

Does the l1-norm learn a sparse graphical model under Laplacian constraints? It doesn't.

sparseportfolio

High Dimensional Portfolio Selection with Cardinality Constraints

sparsify

Easy-to-use autoML interface to optimize deep neural networks for better inference performance and a smaller footprint.

spectre

GPU-accelerated Factors analysis library and Backtester

spektral

Graph Neural Networks with Keras and Tensorflow 2.

sphericalembedding

official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020