12 Weeks, 24 Lessons, AI for All!
nlp machine-learning ai computer-vision deep-learning cnn artificial-intelligence gan rnn microsoft-for-beginners
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rnn
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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
python nlp svm scikit-learn sklearn regression logistic dnn lstm pca rnn deeplearning kmeans adaboost apriori fp-growth svd naivebayes mahchine-leaning recommendedsystem
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- Python
深度学习入门教程, 优秀文章, Deep Learning Tutorial
machine-learning deep-learning mxnet tensorflow cnn pytorch kaggle gan rnn machinelearning deeplearning gcn
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《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
machine-learning tutorial reinforcement-learning deep-learning cnn transformer gan rnn pruning transfer-learning bert diffusion self-attention network-compression chatgpt leedl-tutorial
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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
deep-learning transformers pytorch transformer lstm rnn gpt language-model attention-mechanism gpt-2 gpt-3 linear-attention rwkv chatgpt
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Build your neural network easy and fast, 莫烦Python中文教学
python machine-learning tutorial reinforcement-learning neural-network regression cnn pytorch batch dropout generative-adversarial-network gan batch-normalization dqn classification rnn autoencoder pytorch-tutorial pytorch-tutorials
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Code for Tensorflow Machine Learning Cookbook
nlp machine-learning neural-network tensorflow svm genetic-algorithm linear-regression regression cnn ode classification rnn tensorboard packtpub tensorflow-cookbook tensorflow-algorithms kmeans-clustering
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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
python machine-learning timeseries deep-learning time-series regression cnn pytorch rocket transformer forecasting classification rnn sequential fastai time-series-analysis time-series-classification self-supervised state-of-the-art inceptiontime
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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
tutorial pytorch transformer lstm gru rnn seq2seq attention neural-machine-translation sequence-to-sequence encoder-decoder pytorch-tutorial pytorch-tutorials encoder-decoder-model pytorch-implmention pytorch-nlp torchtext pytorch-implementation pytorch-seq2seq cnn-seq2seq
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A machine learning software for extracting information from scholarly documents
metadata pdf machine-learning deep-learning crf transformers rnn fulltext scientific-articles bibliographical-references hamburger-to-cow
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Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp natural-language-processing tutorial sentiment-analysis word-embeddings transformers cnn pytorch recurrent-neural-networks lstm rnn fasttext bert sentiment-classification pytorch-tutorial pytorch-tutorials cnn-text-classification lstm-sentiment-analysis pytorch-nlp torchtext
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Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
machine-learning tutorial neural-network tensorflow regression cnn dropout generative-adversarial-network gan dqn classification rnn autoencoder tensorflow-tutorials deep-q-network
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CNN-RNN中文文本分类，基于TensorFlow
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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！
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深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
nlp video reinforcement-learning detection cnn transformer gan dqn classification rnn sarsa segmentation recommender-system bert pose dssm tinybert dynabert
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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
machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition
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Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
roadmap neural-network cnn dnn tts speech-synthesis speech-recognition rnn seq2seq automatic-speech-recognition papers language-model attention-mechanism speaker-verification voice-conversion timit-dataset acoustic-model diffusion-models singing-voice-synthesis recognition-synthesis
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This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
deep-neural-networks deep-learning time-series transformer rnn spatio-temporal time-series-analysis spatio-temporal-data tcn time-series-prediction spatio-temporal-prediction time-series-forecasting time-series-models spatial-temporal-forecasting paper-lists
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