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DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial
Implementation of a linear-chain CRF in PyTorch
A tool for extracting plain text from Wikipedia dumps
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
all kinds of text classification models and more with deep learning
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
BERT as language model, fork from https://github.com/google-research/bert
Deep Residual Learning for Weakly-Supervised Relation Extraction: https://arxiv.org/abs/1707.08866
Tensorflow implementation of contextualized word representations from bi-directional language models
A curated list of pretrained sentence and word embedding models
TensorFlow code and pre-trained models for BERT
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews.
distribute tensorflow example
Distributed TensorFlow basics and examples of training algorithms
Sequence to sequence learning using TensorFlow.
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
LSTM language model with CNN over characters
Deep learning library featuring a higher-level API for TensorFlow.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch