Pinned Repositories
advanced-in-machine-learning-k31
Master class in Computer Science 31st school year - (Máy học nâng cao - Cao học K31)
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.
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
mining-massive-datasets
[Homeworks] CS246: Mining Massive Data Sets, Stanford / Spring 2021
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
ReMethods
[Master Course K32 @ HCMUS - Research Methodologies] A study about Layer-wise Relevance Propagation in PyTorch
retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
sequential-parallelization-examples
This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
m32us's Repositories
m32us/mining-massive-datasets
[Homeworks] CS246: Mining Massive Data Sets, Stanford / Spring 2021
m32us/advanced-in-machine-learning-k31
Master class in Computer Science 31st school year - (Máy học nâng cao - Cao học K31)
m32us/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.
m32us/FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
m32us/graph-partition-algorithms
A implementation program for Graph partitioning algorithms using Python
m32us/IPCV-K30
Master class in Computer Science - Digital Image Processing & Computer Vision (Xử lý ảnh số và Video số - Thị giác máy tính)
m32us/k32-ida
K32 - Intelligent Data Analysis
m32us/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
m32us/ReMethods
[Master Course K32 @ HCMUS - Research Methodologies] A study about Layer-wise Relevance Propagation in PyTorch
m32us/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
m32us/sequential-parallelization-examples
This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
m32us/.github
m32us/AD_Math4AI
Thùng chứa sao lưu cho các bài tập hàng tuần cho môn Phương pháp toán cho Trí Tuệ Nhân Tạo
m32us/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
m32us/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
m32us/BGraph-V2
[Phương pháp Toán cho TTNT] Đồ án: Cài đặt các thuật toán tìm kiếm trên đồ thị lớn
m32us/cheatsheets
My cheatsheets
m32us/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
m32us/deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
m32us/k32-ipcv
K32-Advanced Computer Vision
m32us/multi-threaded-logic-nn
Multiprocessing for (Multi-layer) Perceptron inference for some logical gates. Just for fun.
m32us/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.
m32us/Ported-Implement
Vài source code ported implement cho một số việc
m32us/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.