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729 search results found

Demo for CVPR 2017 paper

Nupic.research ⭐ 94

Experimental algorithms. Unsupported.

Naturallanguagerecommendations ⭐ 94

Getting recommendations from natural language

Ml Readings ⭐ 94

A list of papers / videos / tutorials / blog posts on machine learning

Arbitragerepair ⭐ 93

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

Optic Nerve Cnn ⭐ 92

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

🧀 Pytorch code for the Fromage optimiser.

Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis"

Robustness_applications ⭐ 91

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

Lstm_chem ⭐ 91

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

Pgexplainer ⭐ 90

Parameterized Explainer for Graph Neural Network

Deep Portfolio Theory ⭐ 89

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

Histogramloss ⭐ 88

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

Aftershocks_issues ⭐ 88

Issues with Deep Learning of Aftershocks by DeVries

Scientificsummarizationdatasets ⭐ 88

Datasets I have created for scientific summarization, and a trained BertSum model

Mc_gradients ⭐ 87

Camconvs ⭐ 87

Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

Resourceify ⭐ 87

A curated list of everything you need in the field of Data Science, Machine Learning, and Artificial Intelligence including but not limited to Online Courses, Documentations, Blogs, Podcasts, Cheatsheets, research papers, latest developments etc.. arranged in sub-domains and further by the language or framework being used.

Simsiam Tf ⭐ 86

Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.

Learning Invariances ⭐ 85

Codebase for Learning Invariances in Neural Networks

Bayesian neural network package

Csrnet Keras ⭐ 84

Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"

Nmt Seq2seq ⭐ 79

seq2seq model written in Pytorch

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Adversarially Learned Anomaly Detection ⭐ 79

ALAD (Proceedings of IEEE ICDM 2018) official code

Few Shot Text Classification ⭐ 78

Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop

Convolutional Gaussian processes based on GPflow.

Video2gif_code ⭐ 77

Video2GIF neural network model from our paper at CVPR2016

Math And Ml Notes ⭐ 77

Books, papers and links to latest research in ML/AI

Perceptualsimilarity ⭐ 77

Articles ⭐ 77

Code repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.

This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017

Exposure Matrix Factorization: modeling user exposure in recommendation

Textmaps ⭐ 72

Drl Rpn Tf ⭐ 72

Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper)

Fraud Detection ⭐ 71

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

The Differentiable Cross-Entropy Method

Wavelet_networks ⭐ 69

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Pytorchdiscreteflows ⭐ 68

Discrete Normalizing Flows implemented in PyTorch

Autoencoder Based Communication System ⭐ 67

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

Deepinteractivesegmentation ⭐ 65

Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection

Deep_learning_starting_with_the_latest_papers ⭐ 65

최신 논문으로 시작하는 딥러닝 강의 (개정된 강의 이름 : 논문으로 짚어보는 딥러닝의 맥) 기록

Deep Learning Map ⭐ 64

Map of deep learning and notes from papers.

Batchbald_redux ⭐ 63

Reusable BatchBALD implementation

Urban Environments ⭐ 63

Code for constructing the urban environments dataset and for land use classification via convolutional neural networks

Brain Tumor Segmentation Using Deep Neural Networks ⭐ 63

Keras implementation of paper by the same name

Tutorial ⭐ 63

Tutorial on Bayesian tests for Machine Learning

E2e Glstm Sc ⭐ 61

Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"

Source code for the examples accompanying the paper "Learning convex optimization control policies."

Fashion_compatibility_mcn ⭐ 60

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network

Synthesizer ⭐ 60

A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"

Activityinequality ⭐ 59

Data release for Activity Inequality paper

Nullspace_projection ⭐ 58

"Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation

Denoiseg ⭐ 56

Joint training of denoising and segmentation.

Reproduce Stock Market Direction Random Forests ⭐ 56

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Reading Group on Reinforcement Learning topics

Repository for theory and methods for Out-of-Distribution (OoD) generalization

Code for Quality-Aware Template Matching for Deep Learning

Very Deep Convolutional Networks For Natural Language Processing In Tensorflow ⭐ 54

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Tsp Improve ⭐ 54

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

Learning Tsp ⭐ 53

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Kmeans_selfsuper ⭐ 53

Github Paper ⭐ 53

Plos in Computational Biology paper related with github for researchers, code, source and document

Commitgen ⭐ 52

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

Pytorch code for BMVC 2018 paper

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

Saak Transform ⭐ 51

Reinplementation of the paper On Data-Driven Saak Transform

Alpha_pooling ⭐ 51

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Winter2021_cs249_gnn ⭐ 50

Deepsbir ⭐ 50

Code for paper Sketch Me That Shoe

Slot Attention Pytorch ⭐ 50

Pytorch Implementation of paper "Object-Centric Learning with Slot Attention"

Rethinking Evs ⭐ 50

Scripts of our CVPR'19 paper "Rethinking the Evaluation of Video Summaries"

Last_layer_laplace ⭐ 50

Last-layer Laplace approximation code examples

Html Hierarchical Transformer Based Multi Task Learning For Volatility Prediction ⭐ 49

Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction

Posterior Network ⭐ 49

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

Pytorch Dann ⭐ 49

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

Reading Group ⭐ 48

Discussions on papers, frameworks, blogs and ideas every Saturday.

Bayesgrad ⭐ 48

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Ner Wnut17 ⭐ 48

The implementation of the paper "A Multi-task Approach for Named Entity Recognition on Social Media Data," which won the WNUT-2017 Shared Task.

Omnimvs_pytorch ⭐ 48

An unofficial PyTorch implementation of ICCV 2019 paper "OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching"

Code for the signSGD paper

Dlpapers ⭐ 48

Deep learning paper notes

Attention ⭐ 47

Fooling Lime Shap ⭐ 47

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Variational Sparse Coding ⭐ 47

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

Deeppilco ⭐ 46

Iccv 2019 Paper Statistics ⭐ 46

Statistics and Visualization of acceptance rate, main keyword of ICCV 2019 accepted papers for the main Computer Vision conference (ICCV)

Tatevkaren Data Science Portfolio ⭐ 46

Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.

Self Driving Car ⭐ 46

Implementation of the paper "End to End Learning for Self-Driving Cars"

Uncertainty and causal emergence in complex networks

Eacl2017_mtl ⭐ 45

Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"

Deepfake Using Wave2lip ⭐ 45

A deep learning model to lip-sync a given video with any given audio. It uses GAN architecture to orchestrate loss reconstruction or training.

Facemesh.pytorch ⭐ 44

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

Upside Down Reinforcement Learning ⭐ 44

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

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