Pinned Repositories
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
cmake-cookbook
CMake Cookbook recipes.
deep_learning_on_meshes_tutorials
discoverthreejs-site
Repo for the book Discover three.js!
DRMIME
DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
mathematical-tours.github.io
Site web of the Mathematical Tours
numerical-tours
Numerical Tours of Signal Processing
PyMarchingCubes
Marching cubes with and without color interpolation, and edge subsampling.
pytorch_expm
An implementation of the scaling-and-squaring algorithm for matrix exponentials and their Fréchet derivatives in Pytorch.
juampamuc's Repositories
juampamuc/auto-sklearn-talks
Presentations on Auto-sklearn
juampamuc/autograd
Efficiently computes derivatives of numpy code.
juampamuc/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
juampamuc/awesome-long-tail-learning
juampamuc/awesome-point-cloud-registration
A curated list of point cloud registration.
juampamuc/backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
juampamuc/cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
juampamuc/cyclic-boosting
implementation of Cyclic Boosting machine learning algorithms
juampamuc/finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
juampamuc/intro_dgm
An Introduction to Deep Generative Modeling: Examples
juampamuc/laplacian
Fast Laplacian estimation
juampamuc/MO-book
Mathematical Opimization
juampamuc/onemarcfifty_cheat-sheets
code snippets and notes that I have created over the years and which I make available to the public ;-)
juampamuc/perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
juampamuc/python-bibtexparser
Bibtex parser for Python 3
juampamuc/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
juampamuc/pytorch-generative
Easy generative modeling in PyTorch.
juampamuc/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
juampamuc/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
juampamuc/SelfMedMAE
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
juampamuc/skeletonization-for-gradient-based-optimization
juampamuc/sparse-octree
A sparse octree data structure.
juampamuc/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
juampamuc/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
juampamuc/torchsig
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
juampamuc/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
juampamuc/unfoldNd
(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch
juampamuc/VoxelMorphPlusPlus
juampamuc/webgpu-bcmc
WebGPU Data-Parallel Block-Compressed Marching Cubes Isosurface Extraction
juampamuc/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors