101.google-gemini / gemini-fullstack-langgraph-quickstart
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
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101–200 of 270 by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
The repository host gives no description.
Kubernetes Community Documentation
This repository contains demos I made with the Transformers library by HuggingFace.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
A collection of various deep learning architectures, models, and tips
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Foundational Models for State-of-the-Art Speech and Text Translation
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python programs, usually short, of considerable difficulty, to perfect particular skills.
High-Resolution Image Synthesis with Latent Diffusion Models
Quantitative analysis, strategies and backtests
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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.
Automatic extraction of relevant features from time series:
Instructional notebooks on music information retrieval.
Your new Mentor for Data Science E-Learning.
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
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Playing Pokemon Red with Reinforcement Learning
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A multi-voice TTS system trained with an emphasis on quality
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.
The repository host gives no description.
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.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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.
Portfolio and risk analytics in Python
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
Official inference library for Mistral models
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Tutorials and programming exercises for learning Q# and quantum computing
Foundation Models for Genomics & Transcriptomics
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
The fastest way to create an HTML app
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
WebGL accelerated JavaScript molecular graphics library
Pathology Foundation Model - Nature Medicine
links to conference publications in graph-based deep learning
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.
Natural Language Processing Tutorial for Deep Learning Researchers
Implementing a Neural Network from Scratch
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Segment Anything for Microscopy
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
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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》)
《Python Cookbook》 3rd Edition Translation
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Microsoft Quantum Development Kit Samples
Toturials coming with the "data science roadmap" picture.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Precision Medicine Knowledge Graph (PrimeKG)
A Python library for introductory data science
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Simple tutorials using Google's TensorFlow Framework
Create delightful software with Jupyter Notebooks
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Instruct-tune LLaMA on consumer hardware
PRML algorithms implemented in Python
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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.
llama3 implementation one matrix multiplication at a time
The Udacity open source self-driving car project
A scikit-learn compatible neural network library that wraps PyTorch
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
stable diffusion webui colab
TensorFlow Tutorials with YouTube Videos
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..
LAVIS - A One-stop Library for Language-Vision Intelligence
A collection of infrastructure and tools for research in neural network interpretability.
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