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CLI platform to experiment with codegen. Precursor to: https://lovable.dev
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
The fastai book, published as Jupyter Notebooks
Collection of notebooks about quantitative finance, with interactive python code.
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
High-performance TensorFlow library for quantitative finance.
A curated list of practical financial machine learning tools and applications.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
A Tiny, Pure Python implementation of Gradient Boosted Trees.
A simple CLI to create your resume and personal website based on your LinkedIn profile or a JSON file
semi supervised guided topic model with custom guidedLDA
A Python package for time series classification
Build your own personal finance analytics using Plaid, Google Sheets and CircleCI.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
this repository accompanies the book "Grokking Deep Learning"
All Algorithms implemented in Python
All kinds of survival analysis distributions and methods to optimize how long to wait for them.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Simple examples to introduce PyTorch
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL