FLAML alternatives for AI agents.

Fast and Accurate ML in 3 Lines of Code

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.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

An open source python library for automated feature engineering

Statistical Machine Intelligence & Learning Engine

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

AutoML library for deep learning

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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

Probabilistic reasoning and statistical analysis in TensorFlow

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Deep Learning for humans