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
Performance analysis of predictive (alpha) stock factors
The repository host gives no description.
Flax is a neural network library for JAX that is designed for flexibility.
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.
A course in reinforcement learning in the wild
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
Portfolio and risk analytics in Python
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.
Tutorials and programming exercises for learning Q# and quantum computing
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
The fastest way to create an HTML app
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
links to conference publications in graph-based deep learning
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.
Toturials coming with the "data science roadmap" picture.
Microsoft Quantum Development Kit Samples
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
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Precision Medicine Knowledge Graph (PrimeKG)
stable diffusion webui colab
Simple tutorials using Google's TensorFlow Framework
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
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
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.
The Udacity open source self-driving car project
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
Lectures on scientific computing with python, as IPython notebooks.
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
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
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.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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