https://github.com/allixender/meetup-notes
Collection of workshop materials and notes
https://github.com/allixender/collectd-mqtt
collectd java plugin that publishes into MQTT queue
https://github.com/allixender/collectd-api
maven jar publish to link collectd-java-api
https://github.com/allixender/py_interpol_demo
Basic spatial interpolation in Python
https://github.com/allixender/python-jupyter-pandas-geo-tutorials
Python, Pandas and Geopandas tutorials in Jupyter Notebooks
https://github.com/allixender/random_raster_gdal_processing_scripts
collected scripts of last year
https://github.com/allrivertosea/deepseek-rag-mindtree
Mindtree enables fast, accurate, and explainable retrieval of information from PDFs, DOCX, and TXT files using DeepSeek-7B, BM25, FAISS, Neural Reranking (Cross-Encoder), GraphRAG, and Chat History Integration.
https://github.com/allrivertosea/yolov5-model-quantization-and-cuda-acceleration
Quantization and deployment of YOLOv5 vehicle and pedestrian 8-object detection model using TensorRT, with CUDA programming for accelerating pre-processing and post-processing.
https://github.com/allrivertosea/lidar-based-multi-object-tracking
Implement multi-target tracking based on the LiDAR data from the nuScenes dataset. Use the Kalman Filter for state estimation and the Nearest Neighbor (NN) matching method for association. Evaluate the tracking performance using the MOTA metric and visualize the tracking results in the BEV (Bird's Eye View) perspective.
https://github.com/allrivertosea/stock_return_forecast_based_on_pso_flnn
This section is used to predict weekly stock returns, where predicted returns replace historical returns to calculate statistical metrics such as the mean return vector, variance, and skewness. This provides a data foundation for constructing a prediction-based tri-objective model in the study.
https://github.com/alm818/stochasticpackagequery
Repository for solving stochastic package query via Taylor Approximation
https://github.com/almaaslab/micint
R package for analyzing microbial co-occurences
https://github.com/almaaslab/bayesiangem
This repository contains code and data needed to replicate the analysis carried out in the manuscript Pettersen J and Almaas A. 2023.
https://github.com/almaaslab/bigmec
BiGMeC - Biosynthetic Gene cluster Metabolic pathway Constructor