jiefeiy's Stars
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
coin-or/Ipopt
COIN-OR Interior Point Optimizer IPOPT
zhijing-jin/nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
frankhan91/DeepBSDE
Deep BSDE solver in TensorFlow
PrincetonUniversity/hpc_beginning_workshop
StanfordASL/hj_reachability
Hamilton-Jacobi reachability analysis in JAX.
HeKrRuTe/OptStopRandNN
code for "Optimal Stopping via Randomized Neural Networks"
springer-math/Numerical-Methods-for-Stochastic-Partial-Differential-Equations-with-White-Noise
Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise
UCSD-SASLab/HopfReachability
Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimization
msabvid/DeepLearning-StochasticControl
Bellman Equation, Pontryagin Maximum Principle, and Deep Learning to solve stochastic control problems
simone-brugiapaglia/sparse-hd-book
This is a repository associated with the book "Sparse Polynomial Approximation of High-Dimensional Functions" by Ben Adcock, Simone Brugiapaglia, and Clayton G. Webster to be published by SIAM in late 2021.
dolgov/TT-HJB
Tensor Train implementation of Newton policy iteration for Hamilton-Jacobi-Bellman equations
mcpca/marlin
A parallel solver for first-order static Hamilton-Jacobi PDEs
RJDennis/HyperbolicCrossApprox.jl
A Julia package to approximate multivariate continuous functions using a hyperbolic cross.
nguwijy/deep_branching_with_domain
gdetor/differential_equations_dnn
Solve differential equations using deep neural networks
leokan92/optimal-stopping-cnn
Using CNN architeture of ANN to solve the optimal stopping problem of Bermundan options