4,036 skills found · Page 2 of 135
richzhang / ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
leriomaggio / Deep Learning Keras TensorflowIntroduction to Deep Neural Networks with Keras and Tensorflow
weslynn / AlphaTree Graphic Deep Neural NetworkAI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
IntelLabs / Nlp ArchitectA model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
rasbt / Deep Learning BookRepository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
intel / BigDLBigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
naiveHobo / InvoiceNetDeep neural network to extract intelligent information from invoice documents.
curiousily / Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
namisan / Mt DnnMulti-Task Deep Neural Networks for Natural Language Understanding
pannous / Tensorflow Speech Recognition🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
fengbintu / Neural Networks On SiliconThis is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
WenjieDu / PyPOTSA Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
fangwei123456 / SpikingjellySpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
facebookresearch / ResNeXtImplementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
jeshraghian / SnntorchDeep and online learning with spiking neural networks in Python
chelsea0x3b / DfdxDeep learning in Rust, with shape checked tensors and neural networks
szilard / Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
syhw / Wer Are WeAttempt at tracking states of the arts and recent results (bibliography) on speech recognition.
flexflow / Flexflow TrainAutomatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
kk7nc / Text ClassificationText Classification Algorithms: A Survey
