Python implementation of CMA-ES
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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.
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
- business-logic
- code-analysis
- code-understanding
- codebase-analysis
Instructional notebooks on music information retrieval.
- ipython-notebook
- music-information-retrieval
- python
- machine-learning
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
- ocr
- text-detection
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
- jupyter-notebook
- pandas
- federal-reserve
- gdp
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Neural question generation using transformers
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
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.
Utility functions for handling MIDI data in a nice/intuitive way.
"Neural Turing Machine" in Tensorflow
- tensorflow
- neural-turing-machines
WebGL accelerated JavaScript molecular graphics library
- molecular-graphics
- molecular-modeling
- computational-biology
- computational-chemistry
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
🐧 Abuse of Google Colab for cracking hashes.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
- jupyter
- jupyter-notebook
- python
- plotting
Foundation Models for Genomics & Transcriptomics
Introduction to Statistics using Python
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
TensorFlow Implementation of "Show, Attend and Tell"
- tensorflow
- image-captioning
- show-attend-and-tell
- attention-mechanism
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano