Python - 100天从新手到大师

The fastai deep learning library

Learn OpenCV : C++ and Python Examples

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

TensorFlow examples

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Reference models and tools for Cloud TPUs.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Language-Agnostic SEntence Representations

Tutorials for creating and using ONNX models

A small package to create visualizations of PyTorch execution graphs

Feature selector is a tool for dimensionality reduction of machine learning datasets

Pytorch0.4.1 codes for InsightFace

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Some work of Andrew Ng's course on Coursera

Feature Pyramid Networks for Object Detection

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

A library for ML benchmarking. It's powerful.

darknet with GIoU

[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

Video2GIF neural network model from our paper at CVPR2016

Code for calculating the upper bound AP in object detection

A Master Thesis Project on Video Keyword Extractor using Video Summarization techniques.