bamos/thesis
Differentiable Optimization-Based Modeling for Machine Learning
Differentiable Optimization-Based Modeling for Machine Learning
Image Completion with Deep Learning in TensorFlow
♥ Linux, xmonad, emacs, vim, zsh, tmux
A PyTorch implementation of DenseNet.
Website for personal collection and previewing of LaTeX templates. Presented with Python/Jinja2.
Check your GitHub READMEs for broken links.
Website for personal collection and previewing of Beamer and TikZ snippets. Presented with Python/Jinja2.
An unofficial mirror of the core PARSEC 3.0 benchmark suite with patches to run on x86_64 Arch Linux and generalize builds.
My reading list.
Plot your .zsh_history.
Short and fun Python scripts.
Differentiable convex optimization layers
An intelligent block matrix library for numpy, PyTorch, and beyond.
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
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.
Unofficial Gurobi Torch bindings.
A version of verl to support diverse tool use
Haskell-driven, small-scale web analytics with minimal configuration.
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
An ongoing repository of data on coronavirus cases and deaths in the U.S.
Official Implementation of paper accepted by ICLR2025-MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Prompts for our Grok chat assistant and the `@grok` bot on X.
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.
Ensure all links in a Github Wiki point to valid locations within the Wiki.
Minimal-maintenance conference tracker.