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awesome-deep-learning-papers

The most cited deep learning papers

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-scene-graph

A curated list of scene graph generation and related area resources. :-)

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

clipbert

[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

conformer

crnn

A TensorFlow implementation of https://github.com/bgshih/crnn

dask

Parallel computing with task scheduling

dask-dataframe-benchmarking

A Jupyter Notebook I made to try out dask's Dataframes

dask-lightgbm

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deeplearning

Translation of papers in Deep Learning Research

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，近30万字。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

distributed

A distributed task scheduler for Dask

dpsim

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

facedetection-dsfd

few-shot-scene-adaptive-anomaly-detection

gluon-cv

Gluon CV Toolkit

graph-bert

Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

gsmn

Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching

hgl-pytorch

Code for the model "Heterogeneous Graph Learning for Visual Commonsense Reasoning (NeurlPS 2019)"

imagecaptioning.pytorch

Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

jcrnet-mindspore

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mgn_cbam_prid