aengusng8
Love the combination of mathematics, coding, and intuition. Contributor @huggingface 🤗; AI Research Resident @VinAIResearch
@VinAIResearch
aengusng8's Stars
fepegar/torchio
Medical imaging toolkit for deep learning
albarqouni/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
phamdinhkhanh/general_backbone
HumanSignal/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
trent-b/iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
ZFTurbo/Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
mitmath/1806
18.06 course at MIT
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
handong1587/handong1587.github.io
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
alicezheng/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
stormtrooper96/books
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
JasonBenn/deep-learning-paper-notes
Summaries, notes, questions on Deep Learning research papers.
tirthajyoti/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
visenger/awesome-mlops
A curated list of references for MLOps
donnemartin/gitsome
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
amitness/learning
A log of things I'm learning
tiepvupsu/tabml
tiepvupsu/tabml_book
chiphuyen/just-pandas-things
An ongoing list of pandas quirks
alessiamarcolini/deep-learning_best-practices
aleju/imgaug
Image augmentation for machine learning experiments.
NVIDIA/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.