Pinned Repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
barc
Main branch for BARC related code
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
custom-yolov8-auto-annotation-cvat-blueprint
Integrate custom YOLOv8 model into CVAT for automatic annotation blueprint.
hateclipper
Hate-CLIPper: Multimodal Hateful Meme Classification with Explicit Cross-modal Interaction of CLIP features - Accepted at EMNLP 2022 Workshop
interview-question-data-science-
Linear-Programming-Solver
Machine-Learning
My machine learning exploration
OS_Scheduling_Algorithms_Python
phamthaihoangtung's Repositories
phamthaihoangtung/barc
Main branch for BARC related code
phamthaihoangtung/hateclipper
Hate-CLIPper: Multimodal Hateful Meme Classification with Explicit Cross-modal Interaction of CLIP features - Accepted at EMNLP 2022 Workshop
phamthaihoangtung/Linear-Programming-Solver
phamthaihoangtung/Machine-Learning
My machine learning exploration
phamthaihoangtung/OS_Scheduling_Algorithms_Python
phamthaihoangtung/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
phamthaihoangtung/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
phamthaihoangtung/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
phamthaihoangtung/custom-yolov8-auto-annotation-cvat-blueprint
Integrate custom YOLOv8 model into CVAT for automatic annotation blueprint.
phamthaihoangtung/interview-question-data-science-
phamthaihoangtung/learn-machine-learning-in-two-months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
phamthaihoangtung/mld_crf
Multi-lane detection in urban driving environments using conditional random fields
phamthaihoangtung/phamthaihoangtung.github.io
phamthaihoangtung/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
phamthaihoangtung/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
phamthaihoangtung/Tensorflow-TensorRT
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
phamthaihoangtung/test_dvc
phamthaihoangtung/test_git
phamthaihoangtung/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite