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Docker_API_in_BASH
Docker API in BASH connecting with netcat or openssl s_client to the Docker daemona_gnu_libc_interceptor_via_rtld_audit
GNU-Libc Audit shared-library for Linux on the RTLD-Audit mechanism in CDeepLearning4J_MNIST_Scala_Test
MNIST handwritten digits recognition with neural networks in Scala on DeepLearning4J (taken from DL4J original)DataMining_NewYork_Traffic_Speed
Some Data Mining on the real-time speed of traffic in NewYork City with WEKA and GeoScript/GeoTools/JTS polygonal sectionsexamples_neural-style
Examples of Neural-Style Transfer (Convergent Neural Networks) on Renaissance and Pre-Raphaelite paintings on styles based on Impressionism and Photographstesting_linux_eBPF_probes
testing the Linux kernel extended BPF probes using the IO Visor BPF Compiler Collection (BCC) (tested in kernels 4.3.3, 4.4 and 5.0.1)NewRelic_instrumentation_SDK
Example of the NewRelic Agent SDK (embedded mode) instrumenting a test application in Cbft-data
Byzantine Fault Tolerance (BFT) replication on a data object (using the bft-smart/library)create_and_analyze_HAR_HTML_archive
create and analyze a HAR HTML archive in Python from an URL using SeleniumWEKA
Notes about WEKA (Waikato Environment for Knowledge Analysis)Quasi-Biennial-Oscillation
analyzing the Quasi-Biennial-Oscillation time series in Scalalb_Docker_cAdvisor
dynamic, run-time weights for a load balancer from a docker cluster taking input metrics from cAdvisormeasuring_delays_in_backends_using_Lua_in_HAProxy
Measure the time delay, in microseconds, of a request passing through HAProxy version 1.7 till the backend server starts the response, using Lua.perf_record_to_NewRelic
A Linux Performance Counters to NewRelic wrapper in C, using the NewRelic Agent SDK (embedded mode in your application)subsegment-tcp-speeds-l7
in time-sensitive networks, to find which network subsegment has the highest increase in TCP delay (similar to tcptraceroute but higher in the protocol-stack and not using the IP TTL field, because when the TTL expires, this condition is handled immediately in kernel mode)MNIST_ConvNet_Hyperparameter_Tuning_DL4J
Some hyperparameter optimization using the Monte Carlo method for a MNIST convergent neural network using DeepLearning4Java's Arbiterapache_drill
Some notes on Apache DrillLove Open Source and this site? Check out how you can help us