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Models and examples built with TensorFlow
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Making large AI models cheaper, faster and more accessible
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
SoftVC VITS Singing Voice Conversion
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
Open source code for AlphaFold 2.
An educational resource to help anyone learn deep reinforcement learning.
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A python library for user-friendly forecasting and anomaly detection on time series.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A Library for Advanced Deep Time Series Models.
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A TensorFlow implementation of DeepMind's WaveNet paper
keras implement of transformers for humans
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services