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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.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
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.
Foundation Models for Genomics & Transcriptomics
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Pathology Foundation Model - Nature Medicine
Segment Anything for Microscopy
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
A toolkit for #1millionwomentotech community.
A library of metrics for evaluating recommender systems
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
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.
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
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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
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)