Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
- bert
- ner
- named-entity-recognition
- blstm
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Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Handwriting Synthesis with RNNs ✏️
TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
Tengine is a lite, high performance, modular inference engine for embedded device
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A library for scientific machine learning and physics-informed learning
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
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Pre-trained Deep Learning models and demos (high quality and extremely fast)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
TranslatedTensorflow tutorial from basic to hard, 莫烦Python (Mo Fan Python, "Morvan Python") Chinese AI teaching
TranslatedCNN-RNN Chinese text classification, based on TensorFlow