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 (in 2022) 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 by release date with a clear video explanation, link to a more in-depth article, and code
A curated list of the most impressive AI papers
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Paper bank for Self-Supervised Learning
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
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
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
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
Comparison of famous convolutional neural network models
Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
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
A collection of SOTA Image Classification Models in PyTorch
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
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