Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Oct 19, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python wrapper for TA-Lib (http://ta-lib.org/).
Simple and comprehensive tutorials in TensorFlow
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Yi Ge Pai Zhao Zuo Ti Cheng Xu . Shu Ru Yi Zhang Bao Han Shu Xue Ji Suan Ti De Tu Pian ,Shu Chu Shi Bie Chu De Shu Xue Ji Suan Shi Yi Ji Ji Suan Jie Guo . This is a mathematic expression recognition project.
Teaching Materials for Dr. Waleed A. Yousef
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. support visual intelligence development!
Code and datasets for the Tsetlin Machine
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. support visual intelligence development!
PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy
Efficient Training of Audio Transformers with Patchout
A Python CLI tool to scan, detect, and plot stock chart patterns
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Hastic data management server for analyzing patterns and anomalies from Grafana
Glob for C++17
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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