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15-minute-apps

15 minute (small) desktop apps built with PyQt

action-detection

temporal action detection with SSN

adversarialnetspapers

The classical paper list with code about generative adversarial nets

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

banet

Pytorch implementation of Hierarchical Boundary-Aware Neural Encoder for Video Captioning. The C3D part is implemented but not work well.

bkt

Code for (Visual Boundary Knowledge Translation for Foreground Segmentation, AAAI2021).

bmvctemplate2022

Paper template and author instructions for BMVC

caffe

Caffe: a fast open framework for deep learning.

caffenet

catch

A modern, C++-native, header-only, framework for unit-tests, TDD and BDD

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

convolution_lstm_pytorch

Multi-layer convolution LSTM with Pytorch

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-word2vec

cuda implementation of CBOW model (word2vec)

cudasift

A CUDA implementation of SIFT for NVidia GPUs

cudatree

Building random forests on GPU

cudf

cuDF - GPU DataFrame Library

cupy

NumPy-like API accelerated with CUDA

cvpr2019

cvpr2019 papers，极市团队整理

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deep-active-learning

Deep Active Learning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

facedetection