slides

Slides

• 統計概論
• 線性迴歸
• Introduction to Bayesian inference
• Ridge and LASSO regression
• Neural ODE
• Attention mechanism
• Transfer learning
• Foundamental graph theory
• Introduction to GNN
• Distance, biology and representation learning
• Julia Pattern Matching and Data Structures
• Julia Language Design and JIT Compiler
• GeometricFlux.jl: Geometric Deep Learning in Julia
• Julia program performance tuning
• Introduction to Geometric Deep Learning with Implementation, pdf
• Attention mechanism, pdf
• Dimensional reduction - tSNE and UMAP
• 生物資訊的降維演算法及視覺化
• MacroTools.jl
• EvolveGCN
• How to perform TDD and CI in Julia?
• 你有所不知的 Julia 語言特性 - Julia 到底怎樣比其他語言好？