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deep-learning
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673 search results found
Deep Hough Transform
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251
Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)
Awesome Traffic Agent Trajectory Prediction
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251
This is a list of papers related to traffic agent trajectory prediction.
Deep Code Search
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250
DeepCS: Deep Code Search
Awesome Ai Papers
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250
A curated list of the most impressive AI papers
Deep Learning Papers For Fish
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248
a list of pappers in deep learning for new-comes.
Electra_pytorch
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246
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
Awesome Rl Nlp
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242
Curated Reinforcement Learning Resources for Natural Language Processing
Enet Real Time Semantic Segmentation
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241
ENet - A Neural Net Architecture for real time Semantic Segmentation
Rlgraph
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241
RLgraph: Modular computation graphs for deep reinforcement learning
Wavegrad
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239
A fast, high-quality neural vocoder.
What Ai Can Do For You
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239
Breakthrough AI Papers and CODE for Any Industry.
Deepcca
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238
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
Good Papers
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231
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Bigdata18
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230
Transfer learning for time series classification
Summary Of Recommender System Papers
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230
阅读过的推荐系统论文的归类总结,持续更新中…
Asr_theory
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221
语音识别理论,论文和PPT
Music Dance Video Synthesis
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221
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
Genre Shapehd
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220
Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
Revisiting_deep_metric_learning_pytorch
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217
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Deep Q Learning Paper To Code
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216
Pytorch Lesson Zh
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214
pytorch 包教不包会
Dl_paperreadingmeeting
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214
Deep Learning Paper Reading Meeting-Archive
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Face Dataset
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213
Face related datasets
Rtdl Num Embeddings
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212
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
Incremental_learning.pytorch
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210
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Affnet
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209
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Icnn
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207
Input Convex Neural Networks
Rl Paper Study
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206
Reinforcement Learning paper review study
Video Detection
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201
video detection papers
Awesome Person Re Identification
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198
Awesome Person Re-Identification
Deepcca
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192
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Paper Collection
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191
A track of papers I read
Simple Effective Text Matching
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187
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Awesome Computer Vision
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186
Awesome Resources for Advanced Computer Vision Topics
Polylanenet
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186
Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
Light Field Video
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186
Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Cdvd Tsp
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185
The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
Rppg
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185
Benchmark Framework for fair evaluation of rPPG
Mobilepydnet
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184
Pydnet on mobile devices
Dragan
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182
A stable algorithm for GAN training
Gan Weight Norm
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182
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Embedding As Service
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182
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Awsome_deep_geometry_learning
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181
A list of resources about deep learning solutions on 3D shape processing
Representation Learning On Heterogeneous Graph
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178
Representation-Learning-on-Heterogeneous-Graph
Top 10 Computer Vision Papers 2020
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177
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
Geodesc
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176
Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Deep_learning_papers
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175
A place to collect papers that are related to deep learning and computational biology
Ml Systems
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175
papers on scalable and efficient machine learning systems
Deterministic Uncertainty Quantification
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175
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Deeplpf
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175
Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
Deeptam
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174
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhou
Animal_papers
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173
Awesome papers for markerless animal motion capture and 3D reconstruction.
Awesome Gans And Deepfakes
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171
A curated list of GAN & Deepfake papers and repositories.
Deepcad
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170
code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
Awesome Cell Detection Segmentation
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169
nucleus/cell and histopathology image classification,detection,segmentation
Researchpapernotes
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168
Initiative to read research papers
Keras Model Zoo
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168
Keras Model Zoo
Dgc Net
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167
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Tabular Dl Tabr
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166
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
Multi Scale Attention
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166
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Deepresearch
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166
This repository is the collection of research papers in Deep learning, computer vision and NLP.
Selecsls Pytorch
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165
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Pytorch Zssr
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165
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
Fastflownet
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165
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
Defensegan
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164
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Sysml Reading List
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164
Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.
Aichip_paper_list
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161
Ssrn
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160
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Singleviewreconstruction
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159
Official Code: 3D Scene Reconstruction from a Single Viewport
Continual Learning Benchmark
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158
Evaluate three types of task shifting with popular continual learning algorithms.
Awesome Deep Phenomena
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158
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Neural_network_papers
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158
记录一些读过的论文,给出个人对论文的评分情况并简述论文insight
Deepmatchvo
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156
Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Pedsurvey
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153
From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
Ml Audio Start
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152
Suggestions for those interested in developing audio applications of machine learning
Awesome Deepfakes Materials
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151
A curated list of awesome Deepfakes materials
Awesome Speech Enhancement
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151
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Reading Paper
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149
Yopo You Only Propagate Once
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148
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
Deep K Means Pytorch
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148
[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Deep Face Recognition
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148
One-shot Learning and deep face recognition notebooks and workshop materials
Implementation Cvpr2015 Cnn For Reid
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147
Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".
Deep_architect_legacy
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146
DeepArchitect: Automatically Designing and Training Deep Architectures
Cutie
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144
CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)
Icml2015_papers
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143
Links to ICML 2015 papers available on arxiv
Deepknowledgetracing
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143
source code for the paper Deep Knowledge Tracing
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Netgan
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142
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
Depth Hints
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141
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Models Comparison.pytorch
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141
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
Deeprl Tensorflow2
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139
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Automatic Ecg Diagnosis
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137
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
Paper Survey
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136
📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
Font_recognition Deepfont
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136
Its a implementation of DeepFont : Identify Your Font from An Image using Keras
Deephomography
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136
Content-Aware Unsupervised Deep Homography Estimation
Bingham Rotation Learning
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134
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
Deep Learning For Lidar Point Clouds
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134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
E2e Model Learning
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133
Task-based end-to-end model learning in stochastic optimization
Neurvps
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132
Neural Vanishing Point Scanning via Conic Convolution
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