lyric98 Goto Github PK
Type: User
Bio: SYSU
lyric98's Projects
6.435project
bayesian-optimization-tutorial
Used for a lecture given in MIT Course 6.435 by Stewart Jamieson (http://acl.mit.edu/people/sjamieso) & Björn Lütjens (http://acl.mit.edu/people/lutjens)
bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
bne_application
bo-fsvi
bst267
capstoneproject_bne_app
classification-for-blood-cells
Classifying different types of blood cells and counting different blood cell are important indicators important for many diagnostic tests. Our task will use Keras and Sklearn to automatically classify 4 main types of subtype blood cells in each blood sample image and do some counting among them. Finally, we will use confusion matrix to see the models’ performance and give some highlights on future work.
coursera
cs109b
2022 Spring
ct_race_diff_privacy
eeg-mne
gossis
Extracting consistent concepts from multiple databases
hst953
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
old-website-lyric98.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
p9185
probml6701
homework and final project for Columbia STCS6701
redwood-data-analysis
sofa
stat-154-cloud-classification
tutorial-on-phd-application
Tutorial on PhD Application
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