Li-FangCheng's Stars
https-deeplearning-ai/tensorflow-2-public
divamgupta/stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
bee-hive/BIISQ
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification
https-deeplearning-ai/tensorflow-1-public
jameshensman/VFF
Variational Fourier Features
PrincetonUniversity/DP_GP_cluster
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
academicpages/academicpages.github.io
Github Pages template for personal, portfolio-based websites; forked from mmistakes/minimal-mistakes
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
tdegeus/pybind11_examples
Examples for the usage of "pybind11"
pybind/pybind11
Seamless operability between C++11 and Python
tbenthompson/cppimport
Import C++ files directly from Python!
cltl/wsd-dynamic-sense-vector
jamesrobertlloyd/gpss-research
Kernel structure discovery research code - likely to be unstable
sergiokopplin/indigo
Minimalist Jekyll Template, dark and light themes
bogoli/-folio
A simple Jekyll theme for showcasing your work, emphasis on whitespace, transparency, and helvetica.
janczizikow/sleek
:chart_with_upwards_trend: Sleek is a modern Jekyll theme focused on speed performance & SEO best practices
clinicalml/deepDiagnosis
A torch package for learning diagnosis models from temporal patient data.
vmayoral/basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
aikorea/awesome-rl
Reinforcement learning resources curated
CristinaCristescu/ParEGO_Eigen
This repository contains the source code for the 3rd Year Project
matthewjwoodruff/pareto.py
Nondominated sorting for multi-objective problems
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
amarshah/correl_bayesopt
Code for Bayesian Pareto frontier learning for correlated expensive objectives
AtsushiSakai/PythonRobotics
Python sample codes and textbook for robotics algorithms.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
narges-rzv/deepKernelRegression
univariate and multivariate kernel regression
MIT-LCP/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases