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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
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
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)
WebGL accelerated JavaScript molecular graphics library
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Introduction to Statistics using Python
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
Code for "High-Precision Model-Agnostic Explanations" paper
Pathology Foundation Model - Nature Medicine
Segment Anything for Microscopy
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
This repo contains materials for use in a TensorFlow workshop.
The codes I made while I practiced various TensorFlow examples
food image to recipe with deep convolutional neural networks.
A library of metrics for evaluating recommender systems
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.