NVMe management command line interface.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题

LeetCode题解，151道题完整版。

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Symphony Generation with Permutation Invariant Language Model

⚡ Dynamically generated stats for your github readmes

Pytorch implementation of convolutional neural network visualization techniques

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Official Implementation of ICCV'23 paper "Multi-Label Knowledge Distillation"

This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).

Draw the class attention map easily!

[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-…

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

assistant tools for attention visualization in deep learning

Control of a 6-state bicycle model for racing and evading random obstacles utilizing Model Predictive Control (MPC).

Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference".

An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))

[ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023

Training networks to compute forward and inverse kinematics - more generally, nonlinear function estimation with potential singularities

Neural Networks for Inverse Kinematics

Solving the inverse kinematics of a robotic arm is a necessary step whether it is a first-time installation or the configuration of the robotic arm is already changed. In this work, a machine learn…

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Model Predictive Contouring Controller (MPCC) for Autonomous Racing