Natural Language Processing Best Practices & Examples

Shape inference for PyTorch (like Keras) & new layers

无人驾驶相关论文速递

Collective Knowledge (CK) is a small Python library that helps to decompose complex research projects into reusable and cross-linked components (wrappers for code, data, models and results), automation actions and portable workflows with unified APIs, CLI, and JSON I/O. The CK goal is to support collaborative and reproducible R&D projects:

Comparison of famous convolutional neural network models

Paper bank for Self-Supervised Learning

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

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

Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).

State-of-the-art results for deep learning tasks in various fields.

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64!!!

Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

cBench provides a unified CLI and API to reproduce results from ML&systems research papers on bare-metal platforms and participate in collaborative benchmarking and optimization using live scoreboards. See the real example for the MLPerf benchmark:

PyTorch Lightning based TP-N2F model.

This repository's scripts follow chainer official examples' style as possible. Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self Augmented Training"

Boost much better results and use less time.

This android app is intended for use in ham radio logging out in the field

State of the art work in AI.

Nice papers in my eyes.

✳️ An unofficial implementation of Stochastic Polyak Step-size in PyTorch

React and Redux ⚡ SPA for the Storm's Reach fan fiction community. ⚔️

This Android app helps amateur radio operators to get around and operate the hillforts in the Lithuanian LHFA programme.

Using SOTA to find Waldo.

Set of Notebooks acting as a template for implementing SOTA models in Pytorch.

Tool for submitting SOTA (Summits on the Air) radio connection logs to the SOTAdata database.

Datasets, SOTA results of every fields of Chinese NLP

Models From Scratch

TLDR: A repository for explaining papers in few sentences.