Repository Index

Tensors and Dynamic neural networks in Python with strong GPU acceleration

• neural-network
• autograd
• gpu
• numpy

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.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

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.

• python
• machine-learning
• deep-learning
• data-science

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

• nlp
• datasets
• pytorch
• tensorflow

Efficiently computes derivatives of NumPy code.

• autograd
• automatic-differentiation
• numpy
• python

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

• cli
• deep-learning
• education
• from-scratch