NeuroevolutionSnake

Tensors and Dynamic neural networks in Python with strong GPU acceleration

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Python Data Science Handbook: full text in Jupyter Notebooks

? Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Visualizer for neural network, deep learning and machine learning models

The fundamental package for scientific computing with Python.

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.

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.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/