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[WIP] Comparing pyspark and dask for speed, memory/CPU usage, and ease of use
Metric-Constrained Clustering via Goodness-of-Fit Tests with Autocorrelations
Learn OpenCV : C++ and Python Examples
OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。
📘 分享最新BAT面试题(包含机器学习,Linux,PHP,大数据,Python,Java,前端...),持续更新ing...
A collection of various deep learning architectures, models, and tips
Transfer 🤗 Learning for Time Series Forecasting
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Scalable machine 🤖 learning for time series forecasting.
🎆Interactive Online Platform that Visualizes Algorithms from Code
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"
Translation into Python 3 for NCL Java code from Gavin Brown
Understanding Deep Learning - Simon J.D. Prince
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
ConvLSTM-AE_VAD_ICME2017 (code reimplementation)
LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch
My blogs and code for machine learning. http://cnblogs.com/pinard