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
Tesseract Open Source OCR Engine (main repository)
Machine learning, in numpy
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A neural network that transforms a design mock-up into a static website.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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!
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Friendly machine learning for the web! 🤖
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.
The deeplearning algorithms implemented by tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
TensorFlow template application for deep learning
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Jupyter 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
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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