eMpty3High@US - M32US

mining-massive-datasets

[Homeworks] CS246: Mining Massive Data Sets, Stanford / Spring 2021

RL4MRD

Quasi-Hyperbolic Momentum Optimization for Multi-hop Knowledge Graph Reasoning based on Fourier-Knowledge Graph Embedding & Reinforcement Learning

rl-arxiv

Forked cv-arxiv-daily

advanced-in-machine-learning-k31

Master class in Computer Science 31st school year - (Máy học nâng cao - Cao học K31)

FastMOT

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

graph-partition-algorithms

A implementation program for Graph partitioning algorithms using Python

IPCV-K30

Master class in Computer Science - Digital Image Processing & Computer Vision (Xử lý ảnh số và Video số - Thị giác máy tính)

k32-ida

K32 - Intelligent Data Analysis

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

ReMethods

[Master Course K32 @ HCMUS - Research Methodologies] A study about Layer-wise Relevance Propagation in PyTorch

.github

AD_Math4AI

Thùng chứa sao lưu cho các bài tập hàng tuần cho môn Phương pháp toán cho Trí Tuệ Nhân Tạo

BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

BGraph

[Phương pháp Toán cho TTNT] Đồ án: Xây dựng công cụ cho phép biểu diễn đồ thị lớn và rút trích đồ thị con

BGraph-V2

[Phương pháp Toán cho TTNT] Đồ án: Cài đặt các thuật toán tìm kiếm trên đồ thị lớn

cheatsheets

My cheatsheets

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

k32-ipcv

K32-Advanced Computer Vision

LMClassification

[Advanced Programming for AI-HCMUS] Vietnam Landmark Classification

multi-threaded-logic-nn

Multiprocessing for (Multi-layer) Perceptron inference for some logical gates. Just for fun.

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Ported-Implement

Vài source code ported implement cho một số việc

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

sequential-parallelization-examples

This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.