DAIZHENWEI

Ada-BF

BDMMA

Our project uses a Bayesian approach to correct for batch effects in microbiome compositional data with Dirichlet-Multinomial regression

BDMMAcorrect

active_graph

ala-gcn

ASCS

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

CompressCovariance

DAIZHENWEI.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Database-Functional-Dependency-Digging-Algorithms

database functional dependencies digging algorithms

dfosr

Dynamic function-on-scalars regression

FastGCN_pytorch

an implementation of FastGCN with pytorch

GraphPolicyNetworkActiveLearning

The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

LADIES

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

METIS

METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

MolBERT

pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

pytorch-revnet

Implementation of the reversible residual network in pytorch

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

Sparse_estimation_count_sketch

STAT545_term_project

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorflowProjects

Deep learning using tensorflow

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tgn

TGN: Temporal Graph Networks

URLNet

URLNet

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

XDEnsembles

Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]