- Ha Noi
-
02:54
(UTC +07:00) - https://saugau.com
- in/minh-nguy%E1%BB%85n-quang-570851190
Block or Report
Block or report NguyenQuangMinh0504
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (3)
Sort Name ascending (A-Z)
Stars
Language: Python
Sort by: Most stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
TensorFlow code and pre-trained models for BERT
Streamlit — A faster way to build and share data apps.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A community-maintained Python framework for creating mathematical animations.
code for Data Science From Scratch book
The official PyTorch implementation of Google's Gemma models
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
MySQL database connector for Python (with Python 3 support)
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
PyCIL: A Python Toolbox for Class-Incremental Learning
Some results of my DGA reversing efforts
Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017
Single Image Crowd Counting via MCNN (Unofficial Implementation)
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Mastering OpenCV 4 with Python, published by Packt
Asynchronous HTTP Botnet for Distributed Denial of Service (DDoS)
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.