Pinned Repositories
am205-fall-2014
Class repository for AM205 (Advanced Scientific Computing: Numerical Methods), Fall 2014 at Harvard
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bartMachine
An R-Java Bayesian Additive Regression Trees implementation
BDA_py_demos
Bayesian Data Analysis demos for Python
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
CambridgeMathematicsPartIII
hte
insider
This packages implements the computational tool for interpretable sparse matrix decomposition for RNA expression data analysis.
kai0511
Config files for my GitHub profile.
scParser
The package implements scParser, an ensemble computational tool for interpretive single-cell RNA-seq data analysis.
kai0511's Repositories
kai0511/insider
This packages implements the computational tool for interpretable sparse matrix decomposition for RNA expression data analysis.
kai0511/scParser
The package implements scParser, an ensemble computational tool for interpretive single-cell RNA-seq data analysis.
kai0511/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
kai0511/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
kai0511/causalTree
Working repository for Causal Tree and extensions
kai0511/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
kai0511/CGNN
Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
kai0511/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
kai0511/kai0511
Config files for my GitHub profile.
kai0511/cuhk_thesis_template
kai0511/d2l-en
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
kai0511/DeepLearningExamples
Deep Learning Examples
kai0511/drug_repositioning
predict prob of psychiatric disorders using drug expression profile
kai0511/drug_target
kai0511/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
kai0511/FaST-LMM
Python version of Factored Spectrally Transformed Linear Mixed Models
kai0511/learning-to-learn
Learning to Learn in TensorFlow
kai0511/librec
LibRec: A Leading Java Library for Recommender Systems, see
kai0511/lihang-code
《统计学习方法》的代码实现
kai0511/linux_cmds
some commonly used Linux shell commands
kai0511/models
Models and examples built with TensorFlow
kai0511/Probabilistic-Deep-Learning-with-TensorFlow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
kai0511/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
kai0511/resume
My resume in LaTeX (template suited for new graduates; 应届生简历模板)
kai0511/rlearner
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
kai0511/scBERT
kai0511/scGPT
kai0511/SDA4D
R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition
kai0511/stellar
kai0511/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos