1,012 skills found · Page 1 of 34
bentrevett / Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
fla-org / Flash Linear Attention🚀 Efficient implementations for emerging model architectures
locuslab / TCNSequence modeling benchmarks and temporal convolutional networks
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
state-spaces / S4Structured state space sequence models
kzl / Decision TransformerOfficial codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
raminmh / Liquid Time Constant NetworksCode Repository for Liquid Time-Constant Networks (LTCs)
facebookresearch / SvoiceWe provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
harvardnlp / Seq2seq AttnSequence-to-sequence model with LSTM encoder/decoders and attention
ABexit / ASR LLM TTSThis is a speech interaction system built on an open-source model, integrating ASR, LLM, and TTS in sequence. The ASR model is SenceVoice, the LLM models are QWen2.5-0.5B/1.5B, and there are three TTS models: CosyVoice, Edge-TTS, and pyttsx3
facebookresearch / Fairseq2FAIR Sequence Modeling Toolkit 2
guillaume-chevalier / Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
HazyResearch / SafariConvolutions for Sequence Modeling
OpenMOSS / AnyGPTCode for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"
LiyuanLucasLiu / LM LSTM CRFEmpower Sequence Labeling with Task-Aware Language Model
Shark-NLP / DiffuSeq[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
yaserkl / RLSeq2SeqDeep Reinforcement Learning For Sequence to Sequence Models
MaximumEntropy / Seq2Seq PyTorchSequence to Sequence Models with PyTorch
scofield7419 / Sequence Labeling BiLSTM CRFThe BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.
baudm / ParseqScene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
