emailhy Goto Github PK

scispacy

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

seldon-core

Machine Learning Deployment for Kubernetes

slambook2

edition 2 of the slambook

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spark-df-profiling

Create HTML profiling reports from Apache Spark DataFrames

spark-sas7bdat

Splittable SAS (.sas7bdat) Input Format for Hadoop and Spark SQL

sparkinternals

Notes talking about the design and implementation of Apache Spark

spatialrisk

R-package for spatial risk calculations

spotlight

Deep recommender models using PyTorch.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stokastik

Algorithms and Codes for my machine learning blog

strokestrip

Joint parameterization and fitting of stroke clusters

subcnn

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

subcnn_tf

A tensorflow implementation of SubCNN (working progress)

system-design-primer

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

tabular_automl_nni

PAKDD AutoML challenge 2nd Feature Engineering Part

tageditor

🏖TagEditor - Annotation tool for spaCy

talent-plan

PingCAP training courses

talks

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tf-quant-finance

High-performance TensorFlow library for quantitative finance.

the-economist

The Economist 经济学人，持续更新

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

tiktoken

toad

ESC Team's scorecard tools

torch7

towards-realtime-mot

Joint Detection and Embedding for fast multi-object tracking

tsguru