jiangnanhugo

coding myself.

Pinned Repositories

bso
Language:Python4 3 00
compiler_Principle
PL/0 compiler
Language:Java40
CORE-SP
Constraint Reasoning Embedded Structural Prediction
00
Graduate_Design
graduate design for CS master, Beihang university.
Language:TeX92
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
Language:Jupyter Notebook30
RNN_Encoder_Decoder
Language:Jupyter Notebook91
SimpleRNN
RNN tutorial & LSTM tutorial
Language:Python112
Undergraduate_Design
this is my thesis raw tex, and my matlab code implementing self-taught-learning
Language:TeX41

jiangnanhugo's Repositories

jiangnanhugo/jiangnanhugo.github.io
Personal page
Language:SCSS30
jiangnanhugo/nelson-cd
Language:Jupyter Notebook30
jiangnanhugo/route-planning
Language:Python2
jiangnanhugo/CORE-SP
Constraint Reasoning Embedded Structural Prediction
00
jiangnanhugo/bfs-cuda
Implementation of breadth first search on GPU with CUDA Driver API.
jiangnanhugo/CPSC540_project
Implementing and Testing Variance Reduced Method
jiangnanhugo/Crowded-Valley---Results
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
jiangnanhugo/cvgp
Language:Jupyter Notebook
jiangnanhugo/data_and_evaluation
Data generation and evaluation metrics (Confluent Vessel Trees with Accurate Bifurcations, CVPR2021)
Language:C++2 0
jiangnanhugo/ETM
Topic Modeling in Embedding Spaces
jiangnanhugo/gbbs
GBBS: Graph Based Benchmark Suite
jiangnanhugo/HutchPlusPlus
Code for Hutch++: Optimal Stochastic Trace Estimation
jiangnanhugo/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
jiangnanhugo/kalign
A fast multiple sequence alignment program.
Language:C2 0
jiangnanhugo/LSH-sampling
Language:Python
jiangnanhugo/Multi-step-Greedy-Reinforcement-Learning-Algorithms
Multi-step Greedy Reinforcement Learning Algorithms
jiangnanhugo/multivec
jiangnanhugo/PALM
Investigate Learning Approaches for Pairwise Protein Sequence Alignment
Language:Python
jiangnanhugo/parallel-dfs-dag
A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
jiangnanhugo/pytorch_block_sparse
Fast Block Sparse Matrices for Pytorch
jiangnanhugo/Q-learning-Hanoi
Solves the Tower of Hanoi puzzle by Q-learning
Language:Python
jiangnanhugo/Replica_Exchange_Stochastic_Gradient_MCMC
Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
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:Python
jiangnanhugo/stanza
Official Stanford NLP Python Library for Many Human Languages
jiangnanhugo/Stochastic_Gradient_MCMC
jiangnanhugo/tree_expectations
Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988
jiangnanhugo/treesample
Sampling algorithms for directed spanning trees
jiangnanhugo/variance_reduced_neural_networks
Implementation of SVRG and SAGA optimization algorithms for deep learning topics.