3,821 skills found · Page 1 of 128
lutzroeder / NetronVisualizer for neural network, deep learning and machine learning models
microsoft / NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
karpathy / Char RnnMulti-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
ludwig-ai / LudwigLow-code framework for building custom LLMs, neural networks, and other AI models
kyutai-labs / MoshiMoshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
OpenNMT / OpenNMT PyOpen Source Neural Machine Translation and (Large) Language Models in PyTorch
yahoo / Open NsfwNot Suitable for Work (NSFW) classification using deep neural network Caffe models.
tensorspace-team / TensorspaceNeural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
amanchadha / Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
benedekrozemberczki / Pytorch Geometric TemporalPyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
IntelLabs / Nlp ArchitectA model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Conchylicultor / DeepQAMy tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
sherjilozair / Char Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
sdatkinson / NeuralAmpModelerPluginPlugin for Neural Amp Modeler
quic / AimetAIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
mlech26l / NcpsPyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
666DZY666 / Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
neuralmagic / SparsemlLibraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
r9y9 / Deepvoice3 PytorchPyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
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
