Stars
Open-source implementation of AlphaEvolve
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Large-Scale Multimodal Dataset of Astronomical Data
A 15TB Collection of Physics Simulation Datasets
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
Techniques for deep learning with satellite & aerial imagery
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Scalable and user friendly neural 🧠 forecasting algorithms.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Set of ML algorithms for cloud detection in stellite images trained using Sentinel-2 imagery.
Earth observation processing framework for machine learning in Python
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Implementation of Size Constrained Clustering Algorithm
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
♾️ CML - Continuous Machine Learning | CI/CD for ML
LazyText is inspired by the idea of lazypredict, a library which helps build lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpyth…
Implementation of Convolutional LSTM in PyTorch.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
A unified framework for machine learning with time series