Popular GitHub Repositories for Maximum Entropy

Private & local AI personal knowledge management app for high entropy people.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Python library for YOLO small object detection and instance segmentation

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.

? ERA Connect by VYNECT™ — The evolution of secure WhatsApp automation ERA Connect is part of the VYNECT™ ecosystem, offering a premium solution for safe, ethical WhatsApp automation and testing using direct WebSocket communication. Automate conversations, simulate interactions, and manage messages with maximum speed, security, and stability

Learning kernels to maximize the power of MMD tests

Improving MMD-GAN training with repulsive loss function

目标检测 - R-CNN算法实现

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Scene text detection and recognition based on Extremal Region(ER)

PyTorch Explain: Interpretable Deep Learning in Python.

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)