🍪 CookieMonster helps you detect and abuse vulnerable implementations of stateless sessions.

A library for efficient similarity search and clustering of dense vectors.

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

Blazing fast Neovim config providing solid defaults and a beautiful UI, enhancing your neovim experience.

Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Pyth…

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

PyMC educational resources

A Python library that helps data scientists to infer causation rather than observing correlation.

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

😎 A curated list of awesome MLOps tools

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Exercises and supplementary material for the machine learning operations course at DTU.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

A program for financial portfolio management, analysis and optimisation.

quant finance in pure haskell

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

A simple homebrewed path tracer

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London

A collection of information, notes and resources about courses given at the institute of computer science (DIKU) at University of Copenhagen.

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,…

A curated list of awesome Deep Learning tutorials, projects and communities.