12 Weeks, 24 Lessons, AI for All!
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Nov 4, 2026 - Jupyter Notebook
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12 Weeks, 24 Lessons, AI for All!
nlp machine-learning ai computer-vision deep-learning cnn artificial-intelligence gan rnn microsoft-for-beginners
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
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
《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
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
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
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
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
Recurrent neural network for audio noise reduction
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
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
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
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
CNN-RNN中文文本分类,基于TensorFlow
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
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
machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition
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
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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