Repository Index

Kronos: A Foundation Model for the Language of Financial Markets

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Visualizer for neural network, deep learning and machine learning models

• neural-network
• deep-learning
• machine-learning
• deeplearning

A game theoretic approach to explain the output of any machine learning model.

• interpretability
• machine-learning
• deep-learning
• gradient-boosting

StableLM: Stability AI Language Models

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

• deep-learning
• time-series
• time-series-analysis

Foundational Models for State-of-the-Art Speech and Text Translation

Low-code framework for building custom LLMs, neural networks, and other AI models

• deep-learning
• deeplearning
• deep
• learning

Statsmodels: statistical modeling and econometrics in Python

• python
• statistics
• econometrics
• data-analysis

Reference PyTorch implementation and models for DINOv3

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

Refine high-quality datasets and visual AI models

• machine-learning
• artificial-intelligence
• deep-learning
• computer-vision

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

• sagemaker
• aws
• reinforcement-learning
• machine-learning

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

• pytorch
• speech-processing
• speaker-diarization
• speech-activity-detection

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

• dain
• huoshan-tts
• microsoft-tts
• rife-gui

OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.

• oceanbase
• paxos
• htap
• cloud-native

Build, Manage and Deploy AI/ML Systems

• machine-learning
• model-management
• ai
• ml

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

A collection of libraries to optimise AI model performances

• ai
• analytics
• artificial-intelligence
• deeplearning

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.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-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.

• h2o
• machine-learning
• data-science
• deep-learning

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

• cntk
• visualization
• tensorflow
• model-converter

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

• spark
• pyspark
• azure
• scala