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.
Synthetic data generators for tabular and time-series data
Koç University deep learning framework.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
CatBoost tutorials repository
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Utility functions for handling MIDI data in a nice/intuitive way.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
TensorFlow Implementation of "Show, Attend and Tell"
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).
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Precision Medicine Knowledge Graph (PrimeKG)
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
A Python library for introductory data science
Data Hacking Project
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
food image to recipe with deep convolutional neural networks.
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
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
An OCaml kernel for Jupyter (IPython) notebook