python implementation of FEAST network including training and inference
Stable Diffusion web UI
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
A generative speech model for daily dialogue.
Visualizer for neural network, deep learning and machine learning models
The fundamental package for scientific computing with Python.
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.
? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
