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All Algorithms implemented in Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
Understanding Deep Learning - Simon J.D. Prince
A resource for learning about Machine learning & Deep Learning
The "Python Machine Learning (2nd edition)" book code repository and info resource
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch deep learning projects made easy.
Text and supporting code for Think Stats, 2nd Edition
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
ETL, Analytics, Versioning for Unstructured Data
Machine Learning University: Accelerated Tabular Data Class
Reinforcement learning tutorials
[CVPR 2025 - Spotlight] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Web-scraping amazon.com with Beautiful Soup to track product categories
About The dataset was recorded on the Husky robotics platform on the university campus and consists of 5 tracks recorded at different times of day (day/dusk/night) and different seasons (winter/spr…
数式の逆ポーランド記法コンバート。および逆ポーランド記法の演算。
This repository includes an implementation of reinforcement learning algorithms. The notebook provides a step-by-step guide on how to train and test reinforcement learning models on various environ…
A deep CNN model trained to recognize and categorize shoes from digital catalogs (of e-commerce companies), image data contains 5 different viewing angles for same shoe image.
Python maze solving program using the LHR algoritim
A simple implementation of GradCAM (Gradient-weighted Class Activation Mapping) using PyTorch and OpenCV.