Popular GitHub Repositories for Assessment Feedback

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

the LLM vulnerability scanner

Align Anything: Training All-modality Model with Feedback

A curated list of reinforcement learning with human feedback resources (continually updated)

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

A Python package to assess and improve fairness of machine learning models.

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

Measures and metrics for image2image tasks. PyTorch.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Quark Agent - Your AI-powered Android APK Analyst

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision