Stars
A lightweight conic solver for second-order cone programming.
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
Augmented Lagrangian solver for convex quadratic program. Final project for CS 5223: Numerical Analysis.
Primal-dual interior point solver for convex quadratic programs
Distributed query engine providing simple and reliable data processing for any modality and scale
Hardware accelerated, batchable and differentiable optimizers in JAX.
🔗 Connect code to documentation in your IDE
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Implementation of papers in 100 lines of code.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)
A tree-sitter based AST difftool to get meaningful semantic diffs
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
A Collection of Variational Autoencoders (VAE) in PyTorch.
Unofficial PyTorch implementation of "Meta Pseudo Labels"
Latex code for making neural networks diagrams
A reconstruction of Understanding Regularized Spectral Clustering via Graph Conductance