1.google-research / google-research
Google Research
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Google Research
A game theoretic approach to explain the output of any machine learning model.
This repository contains implementations and illustrative code to accompany DeepMind publications
Automatic extraction of relevant features from time series:
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
stable diffusion webui colab
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.
The repository host gives no description.
Precision Medicine Knowledge Graph (PrimeKG)
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Pathology Foundation Model - Nature Medicine
Segment Anything for Microscopy
Create delightful software with Jupyter Notebooks
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Algorithms for outlier, adversarial and drift detection
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
A Python library for introductory data science
A scikit-learn compatible neural network library that wraps PyTorch
Utility functions for handling MIDI data in a nice/intuitive way.
StableLM: Stability AI Language Models
BulkFormer: A large-scale foundation model for human bulk transcriptomes
The repository host gives no description.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A knowledge graph and a set of tools for drug repurposing
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
scPerturb: A resource and a python/R tool for single-cell perturbation data
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
🏃 The go-to single-cell Foundation Model
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
A collection of infrastructure and tools for research in neural network interpretability.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Open source remote sensing dataset with benchmarks
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
The repository host gives no description.
The repository host gives no description.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Reference mapping for single-cell genomics
The repository host gives no description.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Sources codes for: Mastering Python for Finance, Second Edition
Optimising chemical reactions using machine learning
The repository host gives no description.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Code for "High-Precision Model-Agnostic Explanations" paper
Easy pipelines for pandas DataFrames.
Mostly experiments based on "Advances in financial machine learning" book
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.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
A Python library modeling pedestrian and bicycle trips over networks.
Deep Reinforcement Learning for de-novo Drug Design
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Research experiments exploring uncommon quant techniques.
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.
The repository host gives no description.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Moved to https://codeberg.org/araichev/gtfs_kit.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
The repository host gives no description.
TensorForce Bitcoin Trading Bot
Environment for reinforcement-learning algorithmic trading models
food image to recipe with deep convolutional neural networks.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Analysis of High Frequency Trading on Bitcoin exchanges
General Modeling Network Specification
This trading-gym is the first trading for agent to train with episode of short term trading itself.
ChatGPT Python Applications integrated with third party libraries and modules
Various Jupyter notebooks about Common Crawl data
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Use evolutionary algorithms instead of gridsearch in scikit-learn
A library of metrics for evaluating recommender systems
Reinforcement Learning for Portfolio Management
open source E-book on statistical physics