Pinned Repositories
1804_python_healthcare
pdf, py, and jupyter notebook files for https://pythonhealthcare.org/
2015
Public material for CS109
2018-cs109b
Harvard CS109b Public Repository
3dyapt
Academic-Performance-Prediction
ACDC
Code for reproducing "AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks" (NeurIPS 2021)
ACP-Kernel-SRC
AdaptiveConformalPredictionsTimeSeries
Explainable-machine-learning-compressive-behavior-high-performance-concrete
Prediction-Concrete-Compressive-Strength
seanigami's Repositories
seanigami/ai4materials
Deep learning for crystal-structure recognition and analysis of atomic structures
seanigami/AI_PCA_GRADE_prostate_cancer
seanigami/Anomaly-Detection-for-Energy-Management
seanigami/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
seanigami/awesome-decentralized-llm
Collection of LLM resources that can be used to build products you can "own" or to perform reproducible research.
seanigami/charles_photonic_NN
CHARLES: A C++ Photonic-Aware Neural Networks Library
seanigami/cinepi-raw
raw cinema dng recorder application based on libcamera-apps.
seanigami/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
seanigami/CVD-RISK-PREDICTION
Implementing ML to predict 10-year CVD risk, TOPICS S1 2023, University of Adelaide
seanigami/DingoQuadruped
Base code for the Dingo quadruped; modified from Stanford Pupper and Notspot repositories. Includes integration with ROS Noetic and a simulation of the Dingo
seanigami/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
seanigami/Flowise
Drag & drop UI to build your customized LLM flow
seanigami/framework_cystoAI_fair
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence based on FAIR principles.
seanigami/Garbage_container
ML and DL studies
seanigami/GENECI
Software package whose main functionality consists of an evolutionary algorithm to determine the optimal ensemble of machine learning techniques for genetic network inference based on the confidence levels and topological characteristics of its results.
seanigami/langchain-tutorials
Overview and tutorial of the LangChain Library
seanigami/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
seanigami/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
seanigami/PhoGPT
PhoGPT: Generative Pre-training for Vietnamese
seanigami/PlexusNet
PlexusNet for medical imaging
seanigami/Practical-Guide-to-Applied-Conformal-Prediction
Practical Guide to Applied Conformal Prediction, published by Packt
seanigami/privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
seanigami/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
seanigami/regions-of-reliability
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
seanigami/SAITS
The official code repository of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation. https://doi.org/10.1016/j.eswa.2023.119619
seanigami/scipy2023-deeplearning
seanigami/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.
seanigami/stochasticEDL
Sample Average Approximation for Stochastic Programming with Equality Constraints
seanigami/thetagang_trading
ThetaGang is an IBKR bot for collecting money
seanigami/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.