Nicolás Roldán Fajardo's starred repositories
PythonRobotics
Python sample codes for robotics algorithms.
ToonCrafter
a research paper for generative cartoon interpolation
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
zarr-python
An implementation of chunked, compressed, N-dimensional arrays for Python.
pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
lightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River.
optimum-quanto
A pytorch quantization backend for optimum
torch-Video-Tutorials
Light your way in Deep Learning with Torch 🔦
visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
shinyMobile
shiny API for Framework7 (IOS/android)
genai-quickstart-pocs
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.
DL-ECG-Review
A Review of Deep Learning Methods on ECG Data
djl-serving
A universal scalable machine learning model deployment solution
biostatistics
Biostatistics resources : reading list, RMarkdown notebooks, and more!