Here are
54 public repositories
matching this topic...
Natural Language Processing Best Practices & Examples
Updated
Apr 8, 2021
Python
SOTA Re-identification Methods and Toolbox
Updated
Aug 12, 2021
Python
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
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Updated
May 25, 2021
Python
Paper bank for Self-Supervised Learning
Comparison of famous convolutional neural network models
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Updated
May 4, 2021
Python
Fine-tuned MARL algorithms in SMAC (100% win rates on most scenarios)
Updated
Aug 20, 2021
Python
Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
Updated
Dec 6, 2020
Python
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
Updated
Sep 30, 2020
Python
A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
Updated
Jun 12, 2019
Python
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Updated
May 13, 2021
Python
A state of art detector for densely packed scenes dataset SKU-110K
Updated
Jun 28, 2021
Python
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Updated
Jul 2, 2021
Python
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)
Updated
Mar 8, 2021
Jupyter Notebook
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
Updated
Jun 8, 2020
Python
🔥 3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等
Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020
Updated
Jan 20, 2021
Python
State-of-the-art results for deep learning tasks in various fields.
resources for the IBM Airlines Table-Question-Answering Benchmark
Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
Updated
Oct 31, 2019
Python
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Updated
Feb 7, 2021
Python
Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).
Updated
Oct 2, 2020
Jupyter Notebook
News: we have moved this code to the CK framework:
Updated
Feb 10, 2021
Python
Slides and info for girafe-ai Journal Club
PyTorch Lightning based TP-N2F model.
Updated
Jun 16, 2020
Python
[WIP] TensorFlow wrapper of Vision Transformer for SOTA image classification
Updated
Jan 17, 2021
Python
A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)
Updated
Mar 25, 2021
Jupyter Notebook
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Thanks for your great work!
Could you please share the influence of the batch size and the number of GPUs?
Also how to choose a suitable learning rate and batch size if the available GPUs is not enough.
Thank you!