Shbfy's repositories
Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
fuzzing
Tutorials, examples, discussions, research proposals, and other resources related to fuzzing
go-profiler-notes
felixge's notes on the various go profiling methods that are available.
leetcode
Solving leetcode problems
leetrecall
leetrecall is a command line utility that randomises LeetCode problem selection based on user-defined categories, weights, patterns and difficulty levels.
Mind-Maps
Mind-Maps of Several Things
ML-python-lightgbm-cpu-service
Jenkins X quick start for training and deploying tree based learning algorithms using the LightGBM library
ML-python-lightgbm-cpu-training
Jenkins X quick start for training and deploying tree based learning algorithms using the LightGBM library
ML-python-pytorch-lstm-gpu-service
Jenkins X quick start for training and deploying LSTM Neural Network Classification using the PyTorch library
ML-python-pytorch-lstm-gpu-training
Jenkins X quick start for training and deploying LSTM Neural Network Classification using the PyTorch library
ML-python-sklearn-knc-cpu-service
Jenkins X quick start for training and deploying K Nearest Neighbor Classification using the SciKit-Learn library
ML-python-sklearn-knc-cpu-training
Jenkins X quick start for training and deploying K Nearest Neighbor Classification using the SciKit-Learn library
ML-python-sklearn-lrc-cpu-service
Jenkins X quick start for training and deploying Logistic Regression Classification using the SciKit-Learn library
ML-python-sklearn-lrc-cpu-training
Jenkins X quick start for training and deploying Logistic Regression Classification using the SciKit-Learn library
ML-python-sklearn-nbc-cpu-service
Jenkins X quick start for training and deploying Gaussian Naive Bayes Classification using the SciKit-Learn library
ML-python-sklearn-nbc-cpu-training
Jenkins X quick start for training and deploying Naive Bayes Classification using the SciKit-Learn library
ML-python-sklearn-rc-cpu-service
Jenkins X quick start for training and deploying Ridge Classification using the SciKit-Learn library
ML-python-sklearn-rc-cpu-training
Jenkins X quick start for training and deploying Ridge Classification using the SciKit-Learn library
ML-python-sklearn-rfc-cpu-service
Jenkins X quick start for training and deploying Random Forest Classification using the SciKit-Learn library
ML-python-sklearn-rfc-cpu-training
Jenkins X quick start for training and deploying Random Forest Classification using the SciKit-Learn library
ML-python-sklearn-svm-cpu-service
Jenkins X quick start for training and deploying Support Vector Machines using the SciKit-Learn library
ML-python-sklearn-svm-cpu-training
Jenkins X quick start for training and deploying Support Vector Machines using the SciKit-Learn library
ML-python-xgb-cpu-service
Jenkins X quick start for training and deploying GBDT models using the XGBoost library