[TOC]
北大&北航提出FFA-Net去雾新网络和何凯明博士提出的暗通道去雾算法,现所有源码已开源。
其论文链接:https://arxiv.org/abs/1911.07559。
https://github.com/zhilin007/FFA-Net
Python 还能实现图片去雾?FFA 去雾算法、暗通道去雾算法用起来!
https://github.com/shivaverma/Jigsaw-Solver
使用神经网络解决拼图游戏
论文地址:https://arxiv.org/pdf/2007.06600.pdf
代码地址:https://github.com/genforce/sefa
项目主页:https://genforce.github.io/sefa/
https://github.com/AUTOMATIC1111/stable-diffusion-webui
https://github.com/InstantID/InstantID
https://github.com/floydhub/imagenet
https://github.com/amdegroot/ssd.pytorch
https://github.com/zhanghang1989/PyTorch-Multi-Style-Transfer
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
https://github.com/ruotianluo/ImageCaptioning.pytorch
https://github.com/bentrevett/pytorch-sentiment-analysis
https://github.com/allenai/document-qa
https://github.com/facebookresearch/AnimatedDrawings
https://github.com/aigc3d/motionshop
https://aigc3d.github.io/motionshop/
https://github.com/OpenNMT/OpenNMT-py
https://github.com/AliaksandrSiarohin/first-order-model
视频教程:https://openbayes.com/console/openbayes/public/containers/BwZQj5wr3Jp
https://github.com/deepfakes/faceswap
在.\deepnude_official-master\checkpoints 下载三个数据集cm.lib、mm.lib、mn.lib
下载地址:http://39.105.149.229/dn.7z
input.png的要求:
必须是*.png
必须是512px*512px
Face_Recognition API
EagleEye
DocFace
Get Me Through
DeepCamera
Midjourney(简称MJ),Stable-Diffusion(简称SD)。
MJ需要付费使用,而SD开源免费(上手难度和学习成本略大,并且非常吃电脑配置(显卡、内存))
论文地址:
https://arxiv.org/abs/2005.14165
项目地址:
https://github.com/openai/gpt-3
参考链接:
https://openai.com/blog/openai-api/
最大的称号现在是MT-NLG
https://github.com/kingoflolz/mesh-transformer-jax
EleutherAI Open-Sources Six Billion Parameter GPT-3 Clone GPT-J
官方博客:
https://ai.facebook.com/blog/state-of-the-art-open-source-chatbot/
项目地址:
https://parl.ai/projects/recipes/
https://github.com/linxuewu/Sparse4D
官方博客:
https://ai.facebook.com/research/publications/end-to-end-object-detection-with-transformers
源代码:
https://github.com/facebookresearch/detr
论文地址:
https://arxiv.org/abs/1912.10917
项目地址:
https://github.com/VITA-Group/FasterSeg
论文地址:
https://arxiv.org/abs/1911.09070
项目地址:
https://github.com/google/automl/tree/master/efficientdet
开源地址:
https://github.com/facebookresearch/detectron2
开源代码:
https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13
论文地址:
https://www.biorxiv.org/content/10.1101/846279v1.full.pdf
论文地址:
https://arxiv.org/abs/1207.4708f
MLOps(Machine learining Operations)
参考链接:
https://nealanalytics.com/expertise/mlops/
开源地址:
https://github.com/microsoft/MLOps
新冠病毒九大研究方向:
https://www.who.int/blueprint/priority-diseases/key-action/Global_Research_Forum_FINAL_VERSION_for_web_14_feb_2020.pdf?ua=1
新冠数据集:
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/
事实 + 规则 = 知识库
https://github.com/nicola-decao/KnowledgeEditor
真正的知识库不仅仅是‘问答’
EMNLP'21| KnowledgeEditor:编辑语言模型中的事实知识