emykes's Stars
agermanidis/pigeon
🐦 Quickly annotate data from the comfort of your Jupyter notebook
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
flatiron-school/NTL-DS-062722
Main Cohort repository for NTL-DS-062722
TheAlgorithms/Python
All Algorithms implemented in Python
jazmiahenry/tech_interview_resources
elisemercury/AutoClean
Python package for automated data preprocessing & cleaning.
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
kennethleungty/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
optuna/optuna
A hyperparameter optimization framework
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
hse-aml/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
huggingface/deep-rl-class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
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.
public-api-lists/public-api-lists
A collective list of free APIs for use in software and web development 🚀
michevan/WIDS-Google
Documents and information for WIDS@Google 2023 Datathon
python-pillow/Pillow
Python Imaging Library (Fork)
upb-lea/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
weka511/bioinformatics
Code inspired by Bioinformatics Algorithms: an Active Learning Approach.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
aspratle/Recommendation_Systems_Workshop_Flatiron
Jyve00/Emotion_Speech_Detection
Detection Emotion using speech data
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.