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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Anomaly detection related books, papers, videos, and toolboxes
Distributed Asynchronous Hyperparameter Optimization in Python
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
Named Entity Recognition (LSTM + CRF) - Tensorflow
Open Academic Research on Improving LLaMA to SOTA LLM
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Reinforcement learning with unsupervised auxiliary tasks
Keras tutorial for Kaggle 2nd Annual Data Science Bowl
Python implementation of GLN in different frameworks
A repository for easy note tracking and digestion.
15th solution for Walmart Recruiting: Trip Type Classification
Tensorflow Operation Wrapper of cppjieba (Chinese Word Segamentation)