juampamuc's repositories
cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
python-bibtexparser
Bibtex parser for Python 3
MO-book
Mathematical Opimization
cyclic-boosting
implementation of Cyclic Boosting machine learning algorithms
finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
intro_dgm
An Introduction to Deep Generative Modeling: Examples
SelfMedMAE
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
laplacian
Fast Laplacian estimation
backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
unfoldNd
(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch
awesome-point-cloud-registration
A curated list of point cloud registration.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
onemarcfifty_cheat-sheets
code snippets and notes that I have created over the years and which I make available to the public ;-)
autograd
Efficiently computes derivatives of numpy code.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
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.
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
webgpu-bcmc
WebGPU Data-Parallel Block-Compressed Marching Cubes Isosurface Extraction
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
torchsig
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
sparse-octree
A sparse octree data structure.
pytorch-generative
Easy generative modeling in PyTorch.
auto-sklearn-talks
Presentations on Auto-sklearn