Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
SOTA Re-identification Methods and Toolbox
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
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.
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.
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
无人驾驶相关论文速递
🔥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
Paper bank for Self-Supervised Learning
Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Comparison of famous convolutional neural network models
A curated list of the most impressive AI papers
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
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
A collection of SOTA Image Classification Models in PyTorch
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
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