Topic: cme Goto Github
Some thing interesting about cme
Some thing interesting about cme
cme,Financial derivative exchange lookup by market code
User: alek-s
Home Page: http://tinyurl.com/jzt7q8q
cme,CME SHARP Active region visualisation tool
User: alexpinel
cme,A computational model predicting the physical behavior of coronal mass ejections
User: asaxena2019
cme,This repository provides a python code to infer morphological parameters of Coronal Mass Ejection using Cone model given by Xie et al.,2004.
User: astronish16
cme,This repository provides the python-based code for Coronal Mass Ejection(CME) arrival forecast using Drag Based Model(DBM).
User: astronish16
cme,Risk tools for commodities trading and finance
User: bbcho
cme, Analyze the CME grain options markets in python
User: cjuanvip
cme,Just a quick and dirty little script import all the github goodies I like to play with.
User: clutchisback1
cme,Campaigns Made Easy - Open Source Email Campaign Sysetm
Organization: cme-os
cme,CME CNN
User: cyschneck
cme,
Organization: databricks-industry-solutions
cme,Identifying Campaign Effectiveness For Forecasting Foot Traffic
Organization: databricks-industry-solutions
cme,Accelerator for customer incentive investment using causal inference techniques
Organization: databricks-industry-solutions
cme,Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/customer-entity-resolution
cme,This repo is for email customer support automation using LLM
Organization: databricks-industry-solutions
cme,Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/demand-forecasting
cme,
Organization: databricks-industry-solutions
cme,
Organization: databricks-industry-solutions
cme,Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
Organization: databricks-industry-solutions
cme,
Organization: databricks-industry-solutions
cme,Connect the impact of marketing and your ad spend to sales. Efficiently pinpoint the impact of various revenue-generating marketing activities to understand what works best. Focus on the best-performing channels to optimize media mix and drive revenue.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/multi-touch-attribution
cme,Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/propensity-scoring
cme,
Organization: databricks-industry-solutions
cme,From display to video, the value of an impression can only be realized if an ad is viewed by a user. Therefore, when using programmatic advertising to buy inventory, it’s important to take viewability into account. In this Solution Accelerator, learn how to predict ad viewability to optimize your real-time bidding strategy.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/real-time-bidding-optimization
cme,
Organization: databricks-industry-solutions
cme,Preempt churn with the Databricks Solution Accelerator for predicting subscriber attrition. Learn how to analyze behavioral data to identify subscribers with an increased risk of cancellation. Then use machine learning to quantify the likelihood to churn as well as indicate which factors explain that risk.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/survivorship-and-churn
cme,Survival analysis is a collection of statistical methods used to examine and predict the time until an event of interest occurs. In this Solution Accelerator, learn how to use different survival analysis techniques for predicting churn and calculating lifetime value.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/survival-analysis-for-churn-and-lifetime-value
cme,Build a lakehouse for all your gamer data and use natural language processing techniques to flag questionable comments for moderation.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/toxicity-detection-for-gaming
cme,Increase viewer retention through data-driven engagement strategies: analyze both streaming and batch data sets to ensure a performant streaming content experience that drives engagement and loyalty.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/qos
cme,Build a wide-and-deep recommender with collaborative filters that takes advantage of patterns of repeat purchases to suggest both previously purchased and related products.
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/recommendation-engines
cme,various scripts to parse CME group end of day settlements and such
User: dexterhaslem
cme,Perl module to create configuration editor with semantic validation
User: dod38fr
cme, Java Market Data Handler for CME Market Data (MDP 3.0)
Organization: epam
cme,
User: hileshammur
cme,Imandra Modelling Language CME MDP Model
Organization: imandra-ai
Home Page: https://www.imandra.ai
cme,Graduated cylindrical shell CME model in Python
User: johan12345
cme,Fixed ms17-010 module for Crackmapexec
User: lcn-m
cme,Use futures symbols to search and get their contract specs From CME website
User: lixiang618
cme,Crackmapexec 6.0.0 Bane Edition Re-upload
User: manves
cme,cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Traders in Financial Futures (TFF) Futures-only and Traders in Financial Futures (TFF) Futures-and-Options Combined.
User: ndelventhal
cme,Repository for Pachter Lab Biophysics
Organization: pachterlab
Home Page: https://biophysics.readthedocs.io/en/latest/
cme,Project for Physical Methods of Biology based on Kim JK, Tyson JJ (2020) Misuse of the Michaelis–Menten rate law for protein interaction networks and its remedy. PLoS Comput Biol 16(10): e1008258. https://doi.org/10.1371/journal. pcbi.1008258.
User: pupak250194
cme,Download images from the LASCO coronagraphs for CME analysis
User: roseshavethorns
cme,CME iLINK3 Connectivity
User: sambacha
cme,Repository for my Bachelor's Thesis, developed at the Heliophysics Science Division of NASA Goddard Space Flight Center under the supervision of Dr. Teresa Nieves-Chinchilla.
User: scapellas
cme,A minimalist, low-latency, HFT CME MDP 3.0 C++ market data feed handler implementing all required features
User: vincent212
cme,FIX order manager client for fix order routing in C++ using QuickFIX engine can be used for Trading Technologies (TT) or CQG and others
User: vincent212
cme,CME Arrival Time Prediction Using Convolutional Neural Network
User: yiminking
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