Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
Stars: ✭ 735 (+775%)
DefactonlpDeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.
Stars: ✭ 30 (-64.29%)
Evalai☁️ 🚀 📊 📈 Evaluating state of the art in AI
Stars: ✭ 1,087 (+1194.05%)
Cell DetrOfficial and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].
Stars: ✭ 26 (-69.05%)
EvalneSource code for EvalNE, a Python library for evaluating Network Embedding methods.
Stars: ✭ 67 (-20.24%)
VadVoice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Stars: ✭ 622 (+640.48%)
AttentionclusterTensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"
Stars: ✭ 33 (-60.71%)
DreplA REPL for D
Stars: ✭ 70 (-16.67%)
LispyShort and sweet LISP editing
Stars: ✭ 856 (+919.05%)
Yolov4 PytorchThis is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Stars: ✭ 1,070 (+1173.81%)
Nlg EvalEvaluation code for various unsupervised automated metrics for Natural Language Generation.
Stars: ✭ 822 (+878.57%)
Text ClassificationImplementation of papers for text classification task on DBpedia
Stars: ✭ 682 (+711.9%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-38.1%)
SimplecvreproductionReproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.
Stars: ✭ 602 (+616.67%)
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 (-23.81%)
Iou TrackerPython implementation of the IOU Tracker
Stars: ✭ 562 (+569.05%)
Django AccessDjango-Access - the application introducing dynamic evaluation-based instance-level (row-level) access rights control for Django
Stars: ✭ 47 (-44.05%)
AttentionsPyTorch implementation of some attentions for Deep Learning Researchers.
Stars: ✭ 39 (-53.57%)
Punctuator2A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Stars: ✭ 483 (+475%)
ExprFast and lightweight math expression evaluator in C99
Stars: ✭ 61 (-27.38%)
Attentive Neural Processesimplementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Stars: ✭ 33 (-60.71%)
Absa PytorchAspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
Stars: ✭ 1,181 (+1305.95%)
BenchbotBenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
Stars: ✭ 29 (-65.48%)
View Finding NetworkA deep ranking network that learns to find good compositions in a photograph.
Stars: ✭ 57 (-32.14%)
Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
Stars: ✭ 21 (-75%)
Attention TransferImproving Convolutional Networks via Attention Transfer (ICLR 2017)
Stars: ✭ 1,231 (+1365.48%)
MrsrMRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Stars: ✭ 13 (-84.52%)
PycmMulti-class confusion matrix library in Python
Stars: ✭ 1,076 (+1180.95%)
Nlp tensorflow projectUse tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.
Stars: ✭ 27 (-67.86%)
Enjoy Hamburger[ICLR 2021] Is Attention Better Than Matrix Decomposition?
Stars: ✭ 69 (-17.86%)
Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Stars: ✭ 908 (+980.95%)
FluenceA deep learning library based on Pytorch focussed on low resource language research and robustness
Stars: ✭ 54 (-35.71%)
PertA simple command line (bash/shell) utility to estimate tasks using PERT [Program Evaluation and Review Technique]
Stars: ✭ 66 (-21.43%)
FuzzbenchFuzzBench - Fuzzer benchmarking as a service.
Stars: ✭ 612 (+628.57%)
XaiXAI - An eXplainability toolbox for machine learning
Stars: ✭ 596 (+609.52%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+11679.76%)
Speech TransformerA PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
Stars: ✭ 565 (+572.62%)
LmchallengeA library & tools to evaluate predictive language models.
Stars: ✭ 47 (-44.05%)
Performer PytorchAn implementation of Performer, a linear attention-based transformer, in Pytorch
Stars: ✭ 546 (+550%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-23.81%)
Ab3dmot(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Stars: ✭ 1,032 (+1128.57%)
Vidvrd HelperTo keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper
Stars: ✭ 81 (-3.57%)
HatnHierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
Stars: ✭ 73 (-13.1%)
Formula ParserParsing and evaluating mathematical formulas given as strings.
Stars: ✭ 62 (-26.19%)
Biblosa PytorchRe-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.
Stars: ✭ 43 (-48.81%)