intelMT
Ph.D. in Electrical & Computer Engineering. UC Davis Alumnus. Interested in projects in data science, machine & deep learning!
intelMT's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
DataTalksClub/data-engineering-zoomcamp
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
doccano/doccano
Open source annotation tool for machine learning practitioners.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
markodenic/web-development-resources
Awesome Web Development Resources.
shomali11/go-interview
Collection of Technical Interview Questions solved with Go
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
allanzelener/YAD2K
YAD2K: Yet Another Darknet 2 Keras
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
machow/siuba
Python library for using dplyr like syntax with pandas and SQL
gpoore/pythontex
A LaTeX package that executes Python and other code in LaTeX documents, and includes the output
pmulard/machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
mmihaltz/word2vec-GoogleNews-vectors
word2vec Google News model
BenLangmead/ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
diefimov/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
cobanov/paul-graham-turkce
Bu repo paulgraham.com adresindeki denemelerin Turkceye cevrilmis hallerinin yayinladigi gonulluluk ile buyuyen bir kaynaktir.
dpleus/mlops
A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
atillayurtseven/AlgoLab
AlgoLab Python
ziritrion/ml-zoomcamp
ML Zoomcamp fall 2021 homework and stuff
2796gaurav/Naive-bayes-explained
This is a very in depth explination of naive bayes w.r.t implementation in python which can be used in Machine Learning applications.
alexeygrigorev/mlbookcamp-page
The webpage for ML Bookcamp
DenisVorotyntsev/Adan
Unofficial implementation of Adan optimizer in Tensorflow
osbama/IntroQML_NCC
froukje/ml-zoomcamp
notes and exercises for the ml-zoomcamp from DataTalksClub
kwangyy/ml-zoomcamp
Code as part of homework, or additional material as part of the Machine Learning Engineering course by Alexey Grigorev.
ELS-RD/transformers-notebook
Resources regarding Transformers library
tepose/svelte-summit-2022
Demo code used in my Svelte summit 2022 talk