rzzli's Stars
cherryljr/LeetCode
LeetCode各题解法分析~(Java and Python)
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
WeidiXie/cell_counting_v2
TuSimple/TuSimple-DUC
Understanding Convolution for Semantic Segmentation
BrianLDev/Object-Oriented-Data-Structures-Cpp
krishnaik06/Pyspark-With-Python
yztxwd/snakemake-pipeline-general
General rules could be used for specific purpose
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
slowkow/CENTIPEDE.tutorial
:bug: How to use CENTIPEDE to determine if a transcription factor is bound.
Boyle-Lab/TRACE
TRACE: HMM for DNase footprinting and motif matching
pourbemany/A-real-data-analysis-and-modeling-project
The main goal of this project is to explore the possibility of building a minimally viable product (MVP) model to predict the outcome of a restaurant's next inspection based on the provided data of previous inspection in Nevada.
nandin/yelpmlproject
YRdddream/attattr
gugarosa/nalp
🗣️ NALP is a library that covers Natural Adversarial Language Processing.
akashrajkn/waffles-and-posteriors
How priors affect uncertainty estimates
sara-vanerp/bayesreg
R package to perform Bayesian regularization using Stan.
iaconogi/bigSCale2
Framework for clustering, phenotyping, pseudotiming and inferring gene regulatory networks from single cell data
mPloenzke/learnMotifs
steffanpaul/rna_secstructure_code
lgsaber/DeepResolve
SouravDutta91/bert-attn-analysis-qa
Source code for "Whatcha lookin'at? DeepLIFTing BERT's Attention in Question Answering."
AakritiBudhraja/emnlp2020_heads_imp
emorynlp/stem-cell-hypothesis
lena-voita/the-story-of-heads
This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Source and Target Contributions to NMT Predictions".
ankurtaly/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
PAIR-code/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
zj-zhang/deepsea_keras
Keras implementation of Deepsea
gao-lab/kernel-to-PWM
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
savoga/nn-playground-from-scratch