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JichengYUAN's Projects

adaspeech2 icon adaspeech2

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

aim icon aim

Aim — an easy-to-use and performant open-source experiment tracker.

albumentations icon albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

apollo icon apollo

An open autonomous driving platform

best_ai_papers_2021 icon best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

bigdl icon bigdl

BigDL: Distributed Deep Learning Framework for Apache Spark

c-c- icon c-c-

程序员相关电子书资料免费分享,欢迎关注个人微信公众号:程序员编程指南

client icon client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

cross-domain-detection icon cross-domain-detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

da-faster-rcnn icon da-faster-rcnn

Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detic icon detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

distribution_diagrams icon distribution_diagrams

R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

dualbev icon dualbev

[ECCV 2024] The official implementation of DualBEV

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

evalai icon evalai

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fastestdet icon fastestdet

:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler

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