deeplearning

Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)

Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)

Tutorials and my solutions to the Udacity NLP Nanodegree

Evaluating Data Attribution for Text-to-Image Models: a visual data attribution benchmark for evaluating and learning training image influences.

This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

A lightweight toolkit for quantitatively scoring LeRobot episodes.

AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 22 tracks, 300+ modules, live visualizations - plus 10 end-to-end portfolio projects from classical ML to production LLM & multi-agent systems.

EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment.

A numpy implementation of the Transformer model in "Attention is All You Need"

A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.

An AI-powered interactive web application built with Streamlit that predicts whether a candidate will get placed in a job (or admitted) based on academic performance and other features.

Simple Javascript Client Library for Browser and Node.js for calling DeepAI's APIs

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

Repository contains LinkedIn posts about Generative AI knowledge sharing, learning resources and research explanations.

基于YOLOV8的人脸检测模型，从huggingface上面下载，通过gradio进行部署，实现输入图片的URL或者上传图片，模型检测出所有的人脸，并返回位置信息

Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.