studythink's repositories
books
machine learning books
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition
Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt
machine-learning
深度学习与图像识别：原理与实践
Machine-Learning-in-Biotechnology-and-Life-Sciences
Machine Learning in Biotechnology using Python, published by Packt
memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
python-business-analytics
Python solutions to solve practical business problems.
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Springboard-DataScienceTrack-Student
Springboard Program: Data Science Career Track - NLP
themlsbook
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
torchmd
End-To-End Molecular Dynamics (MD) Engine using PyTorch
torchmd-net
Neural network potentials based on graph neural networks and equivariant transformers
torchmd-protein-thermodynamics
Tutorials and data necessary to reproduce the results of publication Machine Learning Coarse-Grained Potentials of Protein Thermodynamics