1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 30 complete days
1–100 of 119 by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
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
The repository host gives no description.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
Automatic extraction of relevant features from time series:
Quantitative analysis, strategies and backtests
Instructional notebooks on music information retrieval.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Pathology Foundation Model - Nature Medicine
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.
WebGL accelerated JavaScript molecular graphics library
Implementing a Neural Network from Scratch
Segment Anything for Microscopy
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Foundation Models for Genomics & Transcriptomics
The repository host gives no description.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Natural Gradient Boosting for Probabilistic Prediction
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Precision Medicine Knowledge Graph (PrimeKG)
stable diffusion webui colab
Create delightful software with Jupyter Notebooks
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A Python library for introductory data science
A scikit-learn compatible neural network library that wraps PyTorch
Algorithms for outlier, adversarial and drift detection
Utility functions for handling MIDI data in a nice/intuitive way.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
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.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Open source remote sensing dataset with benchmarks
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
TranslatedCAPTCHA recognition
Synthetic data generators for tabular and time-series data
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
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
The repository host gives no description.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Repository for Nicheformer: a foundation model for single-cell and spatial omics
Optimising chemical reactions using machine learning
A collection of infrastructure and tools for research in neural network interpretability.
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).
A knowledge graph and a set of tools for drug repurposing
The repository host gives no description.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Reference mapping for single-cell genomics
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
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.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
CatBoost tutorials repository
TensorForce Bitcoin Trading Bot
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
The repository host gives no description.
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Fusing Histology and Genomics via Deep Learning - IEEE TMI
The repository host gives no description.
Wrapper for RDKit's RunReactants to improve stereochemistry handling
scPerturb: A resource and a python/R tool for single-cell perturbation data
The repository host gives no description.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
The repository host gives no description.
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.
Integrated pipeline for multiplexed image analysis
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
open source E-book on statistical physics
Agentic LLM CTF to test prompt injection attacks and preventions
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Python library for interactive topic model visualization. Port of the R LDAvis package.
Koç University deep learning framework.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Elastic Malware Benchmark for Empowering Researchers
Neural question generation using transformers