1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 180 complete days
1–100 of 157 by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Google Research
The repository host gives no description.
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:
Performance analysis of predictive (alpha) stock factors
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
Quantitative analysis, strategies and backtests
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.
stable diffusion webui colab
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
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)
Tutorials and programming exercises for learning Q# and quantum computing
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.
Implementing a Neural Network from Scratch
Pathology Foundation Model - Nature Medicine
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Genomics & Transcriptomics
WebGL accelerated JavaScript molecular graphics library
Segment Anything for Microscopy
links to conference publications in graph-based deep learning
Create delightful software with Jupyter Notebooks
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Microsoft Quantum Development Kit Samples
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
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
Lectures on scientific computing with python, as IPython notebooks.
🦖 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
Utility functions for handling MIDI data in a nice/intuitive way.
Instructional notebooks on music information retrieval.
StableLM: Stability AI Language Models
Synthetic data generators for tabular and time-series data
Natural Gradient Boosting for Probabilistic Prediction
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
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
TranslatedCAPTCHA recognition
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.
A knowledge graph and a set of tools for drug repurposing
Elastic Malware Benchmark for Empowering Researchers
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
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
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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.
🐧 Abuse of Google Colab for cracking hashes.
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
CatBoost tutorials repository
Sources codes for: Mastering Python for Finance, Second Edition
Optimising chemical reactions using machine learning
The repository host gives no description.