Popular GitHub Repositories for Lime Method

[Tensorflow] High Correlation Data Removing Method for Deep Reinforcement Learning in Obstacle Avoidance and Path Planning

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Few-shot image translation method working on unstructured environments. ECCV 2022

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

A state-of-the-art semi-supervised method for image recognition

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

A PyTorch implementation of the Deep SVDD anomaly detection method

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.

Machine learning algorithms for many-body quantum systems

这个实时字幕翻译插件将OpenAI的ChatGPT API（或任何具有相同API调用方法的模型）集成到PotPlayer中。它使你在观看视频时能够实时翻译字幕，从而打破语言障碍，提升你的观看体验。 This real-time subtitle translation plugin integrates OpenAI's ChatGPT API (or any model with the same API calling method) into PotPlayer. It enables you to translate subtitles on-the-fly while watching videos.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"