ChengMeng-CM

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

CygnusX1

A multithreaded tool for searching and downloading images from popular search engines. It is straightforward to set up and run!

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

FewX

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

StudyPath

Provides a computer science learning route

Learning-OpenCV-3_examples

projectwithcomment

C/C++做的小项目合集带注释

detr

End-to-End Object Detection with Transformers

StyleFlow

StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

MVision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Lip2Wav

This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"

3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

benchmark_results

Visual Tracking Paper List

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

WSDEC

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

grounded-video-description

Video Grounding and Captioning

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

fcos

An unofficial implementation of FCOS in Pytorch: 37.3-resnet50-700px

retinanet

gifbook

GifBook: Create sequenced Gifs from video clips and subtitle files.

moviepy

Video editing with Python