Study
A collection of resources on modern C++
A Collection of application ideas which can be used to improve your coding skills.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A playbook for systematically maximizing the performance of deep learning models.
A Python package for easy multiprocessing, but faster than multiprocessing
A python module that uses hill climbing to iteratively blend machine learning model predictions.
FeatHub - A stream-batch unified feature store for real-time machine learning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
A scalable, declarative, low-code framework for real-time and batch feature calculation/management (quant finance, anomaly/fraud detection, etc.), predictive ML training/inference and simulation. B…
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
My personal PyTorch framework for multivariate time series forecasting.
Fast, differentiable sorting and ranking in PyTorch
You like pytorch? You like micrograd? You love tinygrad! ❤️
An experimental terminal UI of Longbridge App.
fklearn: Functional Machine Learning
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these al…
The easiest and best looking Calendar Heatmap you'll find, made with Plotly.
Fast data store for Pandas time-series data
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond