Research experiments exploring uncommon quant techniques.
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Research experiments exploring uncommon quant techniques.
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
open source E-book on statistical physics
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
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
A simple data project for Steam data
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Compiles Transportation Speed and Ridership Data
A GTFS-based data transit network data standard suitable for dynamic transit modeling.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
Graviton: verify your TEAL program by experiment and observation
Tools to support transit service analysis.
Collection of ASR models for English TFLite models for faster inference.
Investigating multilingual language models (BERT) by using them for NER in German and English
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
GTFS Data Pipeline for TfNSW Bus Datasets
Single Image Random Dot Stereogram for Tensorflow
Better Python Stacktraces with power of AI.
A demonstration tutorial of using aiida-quantumespresso
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.