danhlephuoc

dl2

DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for inputs fulfilling a logical formula.

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

TRN.pytorch

A PyTorch reimplementation for our ICCV 2019 paper "Temporal Recurrent Networks for Online Action Detection"

tracking_wo_bnw

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

mipGNN

controllabledl

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

MapEmbed

This repository contains the open source related to MapEmbed Hashing (accepted by SIGKDD 2021)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

apperception

PAM

Parallel Balanced Binary Tree Structures

mp-chemts

MOOD

Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection

ctp

Conditional Theorem Proving

asp2sat

treewidth-aware reduction from asp to sat

sAP

Code for Towards Streaming Perception (ECCV 2020) :car:

BF-Shared-Hashing

DVRL

Deep Variational Reinforcement Learning

UniDet

Object detection on multiple datasets with an automatically learned unified label space.

factorized-graphs

Semi-supervised learning and inference for sparsely labelled graphs

AreCELearnedYet

MotionPlanner_TMPUD

TaskPlanner_TMPUD

Clevel-Hashing

Lock-free Concurrent Level Hashing for Persistent Memory (USENIX ATC 2020)

optimizing-subgraph-queries-combining-binary-and-worst-case-optimal-joins

Code for the paper titled "Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins". VLDB'19

gdq

induction-subgoal-automata-rl

Implementation of "Induction of Subgoal Automata for Reinforcement Learning" (AAAI-20) and "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" (JAIR).

Fast-Weight-Memory-public

Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.

ContinualGNN

Streaming Graph Neural Networks via Continual Learning (CIKM 2020)