Nan Jiang's repositories
jiangnanhugo.github.io
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CORE-SP
Constraint Reasoning Embedded Structural Prediction
bfs-cuda
Implementation of breadth first search on GPU with CUDA Driver API.
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
CPSC540_project
Implementing and Testing Variance Reduced Method
cvgp
Symbolic Regression via Control Variable Genetic Programming. ECML-PKDD 2023
data_and_evaluation
Data generation and evaluation metrics (Confluent Vessel Trees with Accurate Bifurcations, CVPR2021)
HutchPlusPlus
Code for Hutch++: Optimal Stochastic Trace Estimation
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Multi-step-Greedy-Reinforcement-Learning-Algorithms
Multi-step Greedy Reinforcement Learning Algorithms
OCConfigCompare
Python script to compare two plists and list missing keys in either.
PALM
Investigate Learning Approaches for Pairwise Protein Sequence Alignment
parallel-dfs-dag
A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
pddlgym
Convert a PDDL domain into an OpenAI Gym environment.
pytorch_block_sparse
Fast Block Sparse Matrices for Pytorch
Q-learning-Hanoi
Solves the Tower of Hanoi puzzle by Q-learning
Replica_Exchange_Stochastic_Gradient_MCMC
Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
sqlova-with-dataype-constraint
sqlova with dataype constraint
srsci
Scientist-in-the-loop benchmark for symbolic regression
stanza
Official Stanford NLP Python Library for Many Human Languages
tree_expectations
Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988
treesample
Sampling algorithms for directed spanning trees