Pinned Repositories
2021-13th-ironman
第13屆iT邦幫忙鐵人賽
awesome-cheatsheet
:beers: awesome cheatsheet
better-exceptions
Pretty and useful exceptions in Python, automatically.
BigDataDemo
The demo of using Kafka, Spark, Hive, Cassandra, etc by using Docker. It produces the production ready environment for any kinds of big data project relates to Hadoop ecosystem
blockchain-explorer
Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/blockchain-explorer
caffe
Caffe: a fast open framework for deep learning.
CIFAR-10-images
CIFAR-10 raw jpeg images
clean-code-javascript
:bathtub: Clean Code concepts adapted for JavaScript
cm_api
Cloudera Manager API Client
shcchen's Repositories
shcchen/2021-13th-ironman
第13屆iT邦幫忙鐵人賽
shcchen/BigDataDemo
The demo of using Kafka, Spark, Hive, Cassandra, etc by using Docker. It produces the production ready environment for any kinds of big data project relates to Hadoop ecosystem
shcchen/CIFAR-10-images
CIFAR-10 raw jpeg images
shcchen/Decision-Tree-from-Scratch
shcchen/docker-hadoop
Apache Hadoop docker image
shcchen/docker-hadoop-1
一键搭建zookeeper/hadoop/hive/hbase/sqoop/kafka/spark/kylin
shcchen/eTaPR
eTaPR
shcchen/Forest-Local-Interpreter
Enable generating local interpretations for decision forest predictions in the form of reduced conjunctive rules
shcchen/forest_based_tree
The code implements a novel method for converting random forest into a single decision tree
shcchen/FOX-NAS
FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search
shcchen/hadoop-cluster-docker
Run Hadoop Custer within Docker Containers
shcchen/hai
HIL-based Augmented ICS (HAI) Security Dataset
shcchen/KolmogorovSmirnovTest
https://www.youtube.com/watch?v=cWvksMG2yr8&ab_channel=StatisticsandRiskModeling
shcchen/kubernetes-adoption-hands-on
shcchen/models-1
A collection of pre-trained, state-of-the-art models in the ONNX format
shcchen/mysecureshell
MySecureShell
shcchen/nefias
Network Forensic & Anomaly Detection System; tailored for covert channel/network steganography detection
shcchen/neural-compressor
Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
shcchen/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
shcchen/odd-platform
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
shcchen/onnx-opcounter
Count number of parameters / MACs / FLOPS for ONNX models.
shcchen/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
shcchen/Pytorch_DL_Implement
shcchen/setup_cdh
CDH5.16.2 离线安装脚本
shcchen/slides
it is a repository to store all slides used by Triton Ho's public presentation and course.
shcchen/TaPR
Time-series Aware Precision and Recall for Evaluating Anomaly Detection Methods
shcchen/tiny
TinyMLPerf is a benchmark suite for extremely low-power systems such as microcontrollers
shcchen/torch2trt
An easy to use PyTorch to TensorRT converter
shcchen/ufw-docker
To fix the Docker and UFW security flaw without disabling iptables
shcchen/XGBoostTreeApproximator
This project implements a method that converts a trained XGBoost classification tree into a single decision tree.