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A playbook for systematically maximizing the performance of deep learning models.
This repository accompanies the book "Deep Learning for Vision Systems".
A resource for learning about PyTorch and deep learning.
Sourcetrail - free and open-source interactive source explorer
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…
Best Practices, code samples, and documentation for Computer Vision.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Latex code for making neural networks diagrams
Python code for the generation and testing of machine learning models, including the Temporal Fusion Transformer recurrent neural network model. Several Jupyter Notebook files are available with di…
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
NLP/TF-IDF(客服对话分析)；K-Means聚类(客户价值分析,广告效果分析)；Lasso回归(SVR销售预测分析)；Apriori关联(商品组合分析)；IsolationForest异常检测
《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
this repository accompanies the book "Grokking Deep Learning"
A day to day plan for this challenge. Covers both theoritical and practical aspects
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Matlab code of machine learning algorithms in book PRML