Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bandicoot
an open-source python toolbox to analyze mobile phone metadata
ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
common-lib
Common libs that used together between all groups
conversational-datasets
Datasets for conversational AI
music-generation-with-DL
Resources on Music Generation with Deep Learning
stats385.github.io
Stats 385 course website
vn09's Repositories
vn09/stats385.github.io
Stats 385 course website
vn09/100-Days-Of-ML-Code
100 Days of ML Coding
vn09/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
vn09/bandicoot
an open-source python toolbox to analyze mobile phone metadata
vn09/ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
vn09/conversational-datasets
Datasets for conversational AI
vn09/cs7051
This repo reserves as the labs for the course CS7051 (NDS - TCD)
vn09/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
vn09/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
vn09/dcm4che
DICOM Implementation in JAVA
vn09/deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read about deep learning and related.
vn09/DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
vn09/deeplearning-models
A collection of various deep learning architectures, models, and tips
vn09/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
vn09/DNDT
Deep Neural Decision Trees
vn09/facets
Visualizations for machine learning datasets
vn09/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
vn09/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries accross different industries.
vn09/MathsDL-spring18
Topics course Mathematics of Deep Learning, NYU, Spring 18
vn09/ML-From-Scratch
Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.
vn09/modeldb
A system to manage machine learning models
vn09/NUWA
A unified 3D Transformer Pipeline for visual synthesis
vn09/paper_notes
vn09/practicalAI
A practical approach to learning machine learning.
vn09/pure-bash-bible
📖 A collection of pure bash alternatives to external processes.
vn09/pwc
Papers with code. Sorted by stars. Updated weekly.
vn09/shap
A unified approach to explain the output of any machine learning model.
vn09/sherlock
🔎 Find usernames across social networks
vn09/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
vn09/Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages