goldmansachs / gs-quant
Python toolkit for quantitative finance
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Python toolkit for quantitative finance
Neural Networks: Zero to Hero
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A multi-voice TTS system trained with an emphasis on quality
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
This is a repo with links to everything you'd ever want to learn about data engineering
This repository contains the source code for the paper First Order Motion Model for Image Animation
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The "Python Machine Learning (3rd edition)" book code repository