137 Open source projects that are alternatives of or similar to tldr

A repository of resources for understanding the concepts of machine learning/deep learning.

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Comparison of dimensionality reduction methods

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

A Python Library for Similarity-based Dimensionality Reduction

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Reproduce some methods in semi-supervised papers.

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

A fast and flexible framework for data reduction in R

Uncertainty-aware principal component analysis.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

pyMCR: Multivariate Curve Resolution for Python

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Em…

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

Invariant representation learning from imaging and spectral data

Local Fisher Discriminant Analysis in R

Implement of Dynamic Model Pruning with Feedback with pytorch

VNet for 3d volume segmentation

Semantics-guided Part Attention Network (ECCV 2020 Oral)

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Streaming, Memory-Limited, r-truncated SVD Revisited!

Source code for our "TitleStylist" paper at ACL 2020

Vision Transformer for 3D medical image registration (Pytorch).

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

Awesome Pytorch Tutorials

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Tensorflow implementation of adversarial auto-encoder for MNIST

Pytorch implementation of the Loc2Vec with some modifications for speed

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

PyTorch implementation of EfficientNetV2 family

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Federated Principal Component Analysis Revisited!

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

AdaSpeech: Adaptive Text to Speech for Custom Voice

Ensemble topic modelling with pLSA