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safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

scipy-2017-tutorial-pandas

SciPy 2017 Pandas Tutorial

seaborn

Statistical data visualization using matplotlib

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

self-driving-car

The Udacity open source self-driving car project

selfsupervisedlearning_pytorch

PyTorch Implementation of Self-Supervised Learning models

siamese-network-with-triplet-loss

social-network-in-flask-

spacy

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

spacy-1

A Notebook based on NLP Spacy course

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

spacy-notebooks

💫 Jupyter notebooks for spaCy examples and tutorials

spacy_tutorial

A brief tutorial for spaCy 2.x, which runs on Google Colab

spark

Apache Spark - A unified analytics engine for large-scale data processing

sparknlp-elasticsearch

Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana

squeezeformer

stanford-tensorflow-tutorials

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

stanford_cs224n--nlp-with-deep-learning

This repo contains my solution to the Stanford course "NLP with Deep Learning" under CS224n code by prof. Richard Socher and Prof. Christopher Manning in 2017/2018.

stanza

Official Stanford NLP Python Library for Many Human Languages

streamlit

Streamlit — The fastest way to build data apps in Python

sysadmin

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

t5x

t5x_cuda

A working t5x repo thats executable on nvidia GPUs. compatible to pretrain models on 2 A6000 #note: designed for personal usage, use on your own caution

taming-transformers

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-fashion-mnist

common standard fashion mnist dataset using tensorflow

tensormap

TensorMap will be a web application that will allow the users to create machine learning algorithms visually. TensorMap will support reverse engineering of the visual layout to a Tensorflow implementation in preferred languages. The goal of the project is to let the beginners play with machine learning algorithms in Tensorflow without less background knowledge about the library.

testing

Test infrastructure and tooling for Kubeflow.