AiLearning:数据分析 机器学习实战 线性代数 PyTorch NLTK TF2
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Updated
Mar 4, 2024 - Python
AiLearning:数据分析 机器学习实战 线性代数 PyTorch NLTK TF2
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
CNN-RNN中文文本分类,基于TensorFlow
中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Deep learning driven jazz generation using Keras & Theano!
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Data augmentation for NLP, presented at EMNLP 2019
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Official repository of the xLSTM.
RNN based Time-series Anomaly detector model implemented in Pytorch.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…
Chatbot in 200 lines of code using TensorLayer
WTTE-RNN a framework for churn and time to event prediction
Tensorflow implementation of attention mechanism for text classification tasks.
Sequence to Sequence Models with PyTorch
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