arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.

A collective list of free APIs

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

Official DeiT repository

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Latex code for making neural networks diagrams

Visualizer for neural network, deep learning, and machine learning models

End-to-end training of sparse deep neural networks with little-to-no performance loss.

A tool that translates augmented markdown into HTML or latex

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019

Python sample codes for robotics algorithms.

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Image-to-image translation with conditional adversarial nets

Publication-ready NN-architecture schematics.

Curated list of LaTeX awesomeness

Matplotlib styles for scientific plotting

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

Datasets, Transforms and Models specific to Computer Vision

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

A curated list of awesome self-supervised methods

A topic-centric list of HQ open datasets.

A collection of various deep learning architectures, models, and tips

Code for our CVPR 2020 work.