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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 insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
😎 A curated list of awesome MLOps tools
A Python library that helps data scientists to infer causation rather than observing correlation.
A program for financial portfolio management, analysis and optimisation.
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.
🏬 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.