Python Productivity for ZYNQ
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Python Productivity for ZYNQ
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Implementing a Neural Network from Scratch
Handout for the tutorial "Creating publication-quality figures with matplotlib"
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Elyra extends JupyterLab with an AI centric approach.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Natural Gradient Boosting for Probabilistic Prediction
Code for the ProteinMPNN paper
Python library for interactive topic model visualization. Port of the R LDAvis package.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
R kernel for Jupyter
The repository host gives no description.
Synthetic data generators for tabular and time-series data
A Git extension for JupyterLab
A Jupyter - Leaflet.js bridge
Koç University deep learning framework.
A system for assigning and grading notebooks
Jupyter magics and kernels for working with remote Spark clusters
Python implementation of CMA-ES
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Instructional notebooks on music information retrieval.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)