Popular GitHub Repositories for Cnn Numpy

Tensors and Dynamic neural networks in Python with strong GPU acceleration

12 Weeks, 24 Lessons, AI for All!

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Visualizer for neural network, deep learning and machine learning models

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

??HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

A neural network that transforms a design mock-up into a static website.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Machine learning, in numpy

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

An open source library for face detection in images. The face detection speed can reach 1000FPS.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

TensorFlow CNN for fast style transfer ????

Open Machine Learning Course

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)