#计算机科学#Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
#计算机科学#A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
#计算机科学#A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
翻译 - 按发布日期整理的 AI 最新突破列表,包含清晰的视频解释、更深入文章的链接和代码。 [工作正在进行中]
#计算机科学#Collection of popular and reproducible image denoising works.
#计算机科学#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
翻译 - 按发布日期精选发布了AI最新突破的清单,其中包含清晰的视频说明,链接至更深入的文章和代码
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
#自然语言处理#📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
#Awesome#A curated list of the most impressive AI papers
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
翻译 - pytorch库,具有最新的架构,预训练的模型和实时更新的结果
🚀 State-of-the-art parsers for natural language.
DerainZoo for collecting deraining methods, datasets, and codes.
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目,CPU上的实时率(RTF)小于0.1
Spatio-Temporal Action Localization System
BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).
#大语言模型#Guideline following Large Language Model for Information Extraction
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
#计算机科学#Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"