janicelc Goto Github PK

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

al-fk-self-supervision

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

alchemlyb

the simple alchemistry library

aletheia

Unwrapping Black Box of ReLU DNNs

asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

aseplayground

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

bigdataanalyticstutorials

Tutorials for STAT4609 (2022) Big Data Analytics

chainrec

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

clip_captioning

use clip feature and text to generate long sentences as the input of language model

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

coding-interview-university

A complete computer science study plan to become a software engineer.

condgen

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

data_sci_pywksp

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

dcpdn

Densely Connected Pyramid Dehazing Network (CVPR'2018)

deep-active-learning

Deep Active Learning

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

did-mdn

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

dig

A library for graph deep learning research

energy_map

few-shot-gnn

free_energy

gcm-cf

[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

gnn-model-explainer

gnn explainer

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graphcl_automated

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)