AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
-
Updated
Mar 4, 2024 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Machine learning, in numpy
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.
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.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
LSTM and QRNN Language Model Toolkit for PyTorch
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
TensorFlow template application for deep learning
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Use unsupervised and supervised learning to predict stocks
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
This repo contains implementation of different architectures for emotion recognition in conversations.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Add a description, image, and links to the lstm topic page so that developers can more easily learn about it.
To associate your repository with the lstm topic, visit your repo's landing page and select "manage topics."