jiangnanhugo

coding myself.

Pinned Repositories

compiler_Principle
PL/0 compiler
Language:Java40
CORE-SP
Constraint Reasoning Embedded Structural Prediction, JMLR 2022.
00
Graduate_Design
graduate design for CS master, Beihang university.
Language:TeX92
jiangnanhugo.github.io
Personal page
Language:SCSS30
lmkit
language models toolkits with hierarchical softmax setting
Language:Python16 3 03
mlee-nce
Biological Event Trigger Identification with Noise Contrastive Estimation
Language:Python87
nelson-cd
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. AAAI 2023
Language:Jupyter Notebook6 4 00
route-planning
Language:Python2 3 00
seq2seq_cuda
Language:C++30
Undergraduate_Design
this is my thesis raw tex, and my matlab code implementing self-taught-learning
Language:TeX41

jiangnanhugo's Repositories

jiangnanhugo/nelson-cd
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. AAAI 2023
Language:Jupyter Notebook6 4 00
jiangnanhugo/jiangnanhugo.github.io
Personal page
Language:SCSS30
jiangnanhugo/route-planning
Language:Python2 3 00
jiangnanhugo/APPS-ODE
Language:Jupyter Notebook1
jiangnanhugo/CORE-SP
Constraint Reasoning Embedded Structural Prediction, JMLR 2022.
00
jiangnanhugo/act_ode
Language:Jupyter Notebook
jiangnanhugo/alphageometry
jiangnanhugo/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
jiangnanhugo/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
jiangnanhugo/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Language:Cuda
jiangnanhugo/CPSC540_project
Implementing and Testing Variance Reduced Method
jiangnanhugo/cs590-RL
Language:Python
jiangnanhugo/cvgp
Symbolic Regression via Control Variable Genetic Programming. ECML-PKDD 2023
Language:Jupyter Notebook2 01
jiangnanhugo/high-dimensional-statistics-template
jiangnanhugo/Linear-Multihead-Attention
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
jiangnanhugo/LSH_Attention
Calculate Softmax layer of Attention in O(LlogL)(L=sequence length) instead of O(L^2) using crpss-polytope Locality-Sensitive Hashing(https://arxiv.org/abs/1802.05751 ).
jiangnanhugo/matrix_tree_theorem
A reference implementation of algorithms for distributions over spanning trees.
jiangnanhugo/Multi-step-Greedy-Reinforcement-Learning-Algorithms
Multi-step Greedy Reinforcement Learning Algorithms
jiangnanhugo/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
jiangnanhugo/PALM
PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment. UAI 2021.
Language:Python3 0
jiangnanhugo/PFDD2
Phase Field Dislocation Dynamics (PFDD) version 2.x
Language:C++
jiangnanhugo/Practical-Data-Science
A set of Data Science projects with Medium blogposts.
jiangnanhugo/qpth
A fast and differentiable QP solver for PyTorch.
jiangnanhugo/Racing-CVGP
Racing Control Variable Genetic Programming for Symbolic Regression. Nan Jiang, Yexiang Xue. AAAI 2024.
Language:Python
jiangnanhugo/RER-proof
numerical evaluation for reverse experience replay
Language:Jupyter Notebook
jiangnanhugo/schur_compliment_tree
Language:Python
jiangnanhugo/sqlova-with-dataype-constraint
sqlova with dataype constraint
Language:Python3 0
jiangnanhugo/srsci
Scientist-in-the-loop benchmark for symbolic regression
Language:Python5 0
jiangnanhugo/tree_expectations
Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988
jiangnanhugo/VSR-DPG
Vertical Symbolic Regression via Deep Policy Gradient. IJCAI 2024
Language:Python