Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Utility functions for handling MIDI data in a nice/intuitive way.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Reference mapping for single-cell genomics
Presentations from H2O meetups & conferences by the H2O.ai team
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
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.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
CNN, Caffe, LaMem,Azure
Collection of ASR models for English TFLite models for faster inference.
Brain Computer Interface to drive car using brain.