1.google-research / google-research
Google Research
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Google Research
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Reference PyTorch implementation and models for DINOv3
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
This repository contains implementations and illustrative code to accompany DeepMind publications
Performance analysis of predictive (alpha) stock factors
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
A game theoretic approach to explain the output of any machine learning model.
YSDA course in Natural Language Processing
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Automatic extraction of relevant features from time series:
Instructional notebooks on music information retrieval.
A course in reinforcement learning in the wild
Quantitative analysis, strategies and backtests
No description provided by the repository host.
Kubernetes Community Documentation
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
Flax is a neural network library for JAX that is designed for flexibility.
Tutorials and programming exercises for learning Q# and quantum computing
Foundation Models for Genomics & Transcriptomics
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
No description provided by the repository host.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Playing Pokemon Red with Reinforcement Learning
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.
Simple tutorials using Google's TensorFlow Framework
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.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
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.
Pathology Foundation Model - Nature Medicine
This repository contains demos I made with the Transformers library by HuggingFace.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
No description provided by the repository host.
links to conference publications in graph-based deep learning
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Implementing a Neural Network from Scratch
Natural Gradient Boosting for Probabilistic Prediction
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A Python library for introductory data science
The "Python Machine Learning (1st edition)" book code repository and info resource
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Official inference library for Mistral models
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
The fastest way to create an HTML app
A scikit-learn compatible neural network library that wraps PyTorch
Create delightful software with Jupyter Notebooks
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Utility functions for handling MIDI data in a nice/intuitive way.
WebGL accelerated JavaScript molecular graphics library
Precision Medicine Knowledge Graph (PrimeKG)
Segment Anything for Microscopy
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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.
No description provided by the repository host.
Portfolio and risk analytics in Python
The Udacity open source self-driving car project
A collection of infrastructure and tools for research in neural network interpretability.
Microsoft Quantum Development Kit Samples
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
Debugging, monitoring and visualization for Python Machine Learning and Data Science
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Neural question generation using transformers
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A knowledge graph and a set of tools for drug repurposing
No description provided by the repository host.
No description provided by the repository host.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
Optimising chemical reactions using machine learning