Topic: sota Goto Github
Some thing interesting about sota
Some thing interesting about sota
sota,sharpDARTS: Faster and More Accurate Differentiable Architecture Search
User: ahundt
Home Page: http://arxiv.org/abs/1903.09900
sota,A curated list of the most impressive AI papers
User: aimerou
sota,State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
User: arthur151
sota,Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).
User: asigalov61
Home Page: https://github.com/aws-samples/aws-deepcomposer-samples
sota,[DEPRECEATED] Multi-Instrumental Music Transformer trained on 12GB/400k MIDIs
User: asigalov61
sota,[DEPRECIATED] [PyTorch 2.0] [638M] [85.33% acc] Full-attention multi-instrumental music transformer for supervised music generation, optimized for speed, efficiency, and performance
User: asigalov61
Home Page: https://soundcloud.com/aleksandr-sigalov-61/sets/euterpe-x
sota,[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
User: asigalov61
Home Page: https://soundcloud.com/aleksandr-sigalov-61/sets/giant-music-transformer
sota,SOTA Piano Transformer model trained on 4.2GB of Solo Piano MIDI music
User: asigalov61
sota,[SOTA] MIDI Tempo Detection AI implementation and model (94% accuracy on any MIDI]
User: asigalov61
sota,A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)
User: asigalov61
sota,Local windowed attention multi-instrumental music transformer tailored for music orchestration/instrumentation and stable music generation
User: asigalov61
Home Page: https://soundcloud.com/aleksandr-sigalov-61/sets/orchestrator-multi
sota,SOTA Google's Perceiver-AR Music Transformer Implementation and Model
User: asigalov61
Home Page: https://github.com/google-research/perceiver-ar
sota,Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)
User: asigalov61
Home Page: https://soundcloud.com/aleksandr-sigalov-61/sets/my-select-piano-works
sota,AI Creator Archive
User: camenduru
sota,State-of-the-art results for deep learning tasks in various fields.
User: cmsflash
sota,无人驾驶相关论文速递
User: deeptecher
sota,Paper bank for Self-Supervised Learning
User: dev-sungman
sota,[Docker provided] How to build, install and run open-source exploration algorithms
User: engcang
sota,Slides and info for girafe-ai Journal Club
Organization: girafe-ai
Home Page: https://t.me/girafe_ai_journal
sota,PVT: Point-Voxel Transformer for 3D Deep Learning
User: haochengwan
Home Page: https://arxiv.org/abs/2108.06076
sota,Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
User: hijkzzz
Home Page: https://arxiv.org/abs/2106.14334
sota,Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
User: hijkzzz
Home Page: https://iclr-blogposts.github.io/2023/blog/2023/riit/
sota,🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
User: huangcongqing
sota,resources for the IBM Airlines Table-Question-Answering Benchmark
Organization: ibm
sota,SOTA Re-identification Methods and Toolbox
Organization: jdai-cv
sota,A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS
User: keonlee9420
sota,A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
User: keonlee9420
sota,Comparison of famous convolutional neural network models
User: kobiso
sota,Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
User: lotayou
Home Page: https://arxiv.org/abs/2005.05005
sota,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
User: louisfb01
Home Page: https://www.louisbouchard.ai/2020-a-year-full-of-amazing-ai-papers-a-review/
sota,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.
User: louisfb01
Home Page: https://www.louisbouchard.ai/2021-ai-papers-review/
sota,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.
User: louisfb01
Home Page: https://www.louisbouchard.ai
sota,A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
User: louisfb01
Home Page: https://www.louisbouchard.ai/top-10-cv-papers-2021/
sota,CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
User: mdv3101
sota,A state of art detector for densely packed scenes dataset SKU-110K
User: media-smart
sota,Natural Language Processing Best Practices & Examples
Organization: microsoft
sota,A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
User: pistony
Home Page: https://pistony.github.io/ResidualAttentionNetwork/
sota,Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
User: ppriyank
sota,Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Organization: princeton-vl
sota,The Pytorch reimplementation of Vision Transformer
User: rentainhe
sota,Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
Organization: res2net
Home Page: https://mmcheng.net/res2net/
sota,An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
User: rishit-dagli
Home Page: https://pypi.org/project/tnt-tensorflow
sota,A collection of SOTA Image Classification Models in PyTorch
User: sithu31296
sota,Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
User: szymonmaszke
sota,Researchers who published code, models (in some cases), and demo apps (in few cases) along with their SOTA paper
User: taskswithcode
sota,MobileOne - An Improved One millisecond Mobile Backbone. Unofficial Pytorch implementation for edge export - ONNX, OpenVINO.
User: tersekmatija
sota,Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020
User: tuvovan
sota,NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
User: vballoli
Home Page: https://nfnets-pytorch.readthedocs.io/en/latest/
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