HowToTrainYourMAMLPytorch. The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

bamos.github.io. JavaScript

snowglobe. Haskell-driven, small-scale web analytics with minimal configuration.

ecos.torch. Unofficial Torch ECOS bindings to solve linear programs (LPs) and second-order cone programs (SOCPs).

gurobi.torch. Unofficial Gurobi Torch bindings.

shell-scripts. Miscellaneous short shell scripts.

github-wiki-link-validator. Ensure all links in a Github Wiki point to valid locations within the Wiki.

mirror-android-repo. Instructions and files to set up a server mirroring the entire Android project.

docker-llvm-polly-pocl. Build LLVM, Polly, and PoCL in an Ubuntu 12.04 Docker container.

cornell-cs5785-2024-applied-ml. Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

differentiable-mpc. Python

COLD-Attack. [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

star-vector. StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

cvxpylayers. Differentiable convex optimization layers

covid-19-data. An ongoing repository of data on coronavirus cases and deaths in the U.S.

cvxpy. A Python-embedded modeling language for convex optimization problems.

taskmet. Python

ott. Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

higher-1. higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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