Official implementation of Score-CAM in PyTorch

My optimization(With and Without gradient) library

Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.

Tensorflow Optimizer using the SPSA method

Similarity Differences and Uniqueness Explainable AI method

This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free CAM-based visualization method for explaining CNN decision.

ADMM approach to train neural networks without gradient.

VRAXION public SDK and boundary docs for the private engine.

Repository containing code to run Score-CAM algorithm available on https://arxiv.org/pdf/1910.01279v1.pdf.

A Julia implementation of Simultaneous Perturbation Stochastic Approximation

Fast runtime for Random Optimization at scale.

Visualizing 3D ResNet for Medical Image Classification With Score-CAM

Gradient-free fine-tuning for any HuggingFace model. EGGROLL Evolution Strategies in PyTorch. No backprop. No gradients. Just evolution.

A zero-dependency, BP-free Forward-Only Neural Network using Dual-Rail Positive ($\mathbb{R}^+$) logic and Hadamard Gating. Where the world is the training set and updates are the Logos.2. 標籤 (Topics)