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self-driving-car

The Udacity open source self-driving car project

self-driving-car-sim

A self-driving car simulator built with Unity

selfdrivingcarnd

My solutions for Udacity Self-Driving Car Engineer Nanodegree.

sentaugment

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.

sentence-transformers

Sentence Embeddings with BERT & XLNet

seq2seq-chatbot

A sequence2sequence chatbot implementation with TensorFlow.

shapash

Shapash makes Machine Learning models transparent and understandable by everyone

shiny

Easy interactive web applications with R

siam-mot

SiamMOT: Siamese Multi-Object Tracking

sliders

Concept Sliders for Precise Control of Diffusion Models

smoothing-consistency

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

sngan_projection_tensorflow

Simply implement the paper: cGANs with Projection Discriminator by TensorFlow

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spacy-pytorch-transformers

🛸 spaCy pipelines for pre-trained BERT, XLNet and GPT-2

spacy-streamlit

👑 spaCy building blocks and visualizers for Streamlit apps

spark-nlp

State of the Art Natural Language Processing

spark-ocr-workshop

Public runnable examples of using John Snow Labs' OCR for Apache Spark.

speech2face.github.io

speechbrain

A PyTorch-based Speech Toolkit

spotgarbage-gini

Spot Garbage Dataset

sql-leetcode-challenge

Contains all the 117 Leetcode questions with their solutions ranging from Easy to Hard in MySQL.

sql-masterclass

ssd-tf2

A super clean implementation of SSD (Single Shot MultiBox Detector) made possible by Tensorflow 2.0

stable-diffusion-webui

Stable Diffusion web UI

stanford-cme-102-ordinary-differential-equations

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers

stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stanfordnlp

Official Stanford NLP Python Library for Many Human Languages

stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)