DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (-39.47%)
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (-85.34%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+4072.93%)
Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
Stars: ✭ 45 (-83.08%)
Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Stars: ✭ 64 (-75.94%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (+127.44%)
Prediction FlowDeep-Learning based CTR models implemented by PyTorch
Stars: ✭ 138 (-48.12%)
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: ✭ 27 (-89.85%)
SineA PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Stars: ✭ 67 (-74.81%)
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-83.83%)
Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Stars: ✭ 134 (-49.62%)
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (-21.05%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (-14.66%)
Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
Stars: ✭ 146 (-45.11%)
Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Stars: ✭ 407 (+53.01%)
Nlp JourneyDocuments, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
Stars: ✭ 1,290 (+384.96%)
RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (-80.45%)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-92.86%)
wordfish-pythonextract relationships from standardized terms from corpus of interest with deep learning 🐟
Stars: ✭ 19 (-92.86%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-93.98%)
lettuceComputational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
Stars: ✭ 74 (-72.18%)
ResUNetPlusPlusOfficial code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)
Stars: ✭ 69 (-74.06%)
altairAssessing Source Code Semantic Similarity with Unsupervised Learning
Stars: ✭ 42 (-84.21%)
photontorchHighly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
Stars: ✭ 29 (-89.1%)
Attention一些不同的Attention机制代码
Stars: ✭ 17 (-93.61%)
Diabetic-Retinopathy-DetectionDIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
Stars: ✭ 31 (-88.35%)
datahubDataHub - Synthetic data library
Stars: ✭ 66 (-75.19%)
chemicalxA PyTorch and TorchDrug based deep learning library for drug pair scoring.
Stars: ✭ 176 (-33.83%)
Pytorch SgnsSkipgram Negative Sampling in PyTorch
Stars: ✭ 256 (-3.76%)
Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Stars: ✭ 48 (-81.95%)
spark-word2vecA parallel implementation of word2vec based on Spark
Stars: ✭ 24 (-90.98%)
vqa-softAccompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
Stars: ✭ 14 (-94.74%)
skippaSciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (-87.59%)
sibeExperimental Haskell machine learning library
Stars: ✭ 35 (-86.84%)
AmberAmber-ify LED torch.
Stars: ✭ 26 (-90.23%)
Event Extraction基于法律裁判文书的事件抽取及其应用,包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
Stars: ✭ 258 (-3.01%)
go2vecRead and use word2vec vectors in Go
Stars: ✭ 44 (-83.46%)
vaka neural network toolbox for animal vocalizations and bioacoustics
Stars: ✭ 21 (-92.11%)
sent2vecHow to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
Stars: ✭ 99 (-62.78%)
GodlyTorch[NOT MAINTAINED] An app that can control the intensity of the torch of your rooted android device.
Stars: ✭ 16 (-93.98%)
ppreca recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-89.1%)
SBR⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
Stars: ✭ 22 (-91.73%)
Kaio-machine-learning-human-face-detectionMachine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Stars: ✭ 18 (-93.23%)
cadeCompass-aligned Distributional Embeddings. Align embeddings from different corpora
Stars: ✭ 29 (-89.1%)
mtad-gat-pytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Stars: ✭ 85 (-68.05%)
tensorsemStructural Equation Modeling using Torch
Stars: ✭ 36 (-86.47%)
reachLoad embeddings and featurize your sentences.
Stars: ✭ 17 (-93.61%)