Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
SplineDist: Automated Cell Segmentation with Spline Curves
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Various Jupyter notebooks about Common Crawl data
Research experiments exploring uncommon quant techniques.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Open Matrix (OMX)
- omx
- matrix-data
- open-data
- travel-modeling
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
- ios
- coreml
- coreml-framework
- swift
💸 Papers and Code Implements for Quantitative-Trading
The repository host gives no description.
Agentic LLM CTF to test prompt injection attacks and preventions
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
- cancer
- foundation-model
- single-cell
A simple data project for Steam data
- steam
- steam-data
- steam-api
- python
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Compiles Transportation Speed and Ridership Data
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
A GTFS-based data transit network data standard suitable for dynamic transit modeling.
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
Slides and materials for various talks I've given
:snake: Python Implementation for KITTI Scan Unfolding
- kitti
- python
- scan-unfolding
- projection