Popular GitHub Repositories for Optimal Contract

POT : Python Optimal Transport

TorchCFM: a Conditional Flow Matching library

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

ContextGem: Easier and faster way to build LLM extraction workflows through powerful abstractions

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

References on Optimal Control, Reinforcement Learning and Motion Planning

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

? Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

AI engine for smart contract audit

General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

Using advanced control and computer vision techniques in an easy way for embedded

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

First version of go-MATRIX, especially for TPS optimization and AI

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems