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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Instruction Tuning with GPT-4
Compute training dynamics, plot data cartography, analysing data quality...
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Uplift modeling and causal inference with machine learning algorithms
Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding
Python implementation of CBOW and skip-gram word vector models, and hierarchical softmax and negative sampling learning algorithms
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Impementation paper "Deep Neural Networks for YouTube Recommendations"
recommendation system with Youtube Deep Net
利用TensorFlow（TF），本作业实现了一个基于full convolution stack、inception v2 module等模块的图片分类网络，纵向共包含10层包含参数的层，采用自己搭建的卷积层。对于dset1与dset2采用同样的网络结构，分别进行训练。最终在dset1验证集（约含900张图，下同）上的Top1分类准确率约为0.52，在dset2验证集上的Top1准确率约为…
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
Python library for converting Scikit-Learn pipelines to PMML
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
📝 一个一键导出 / 备份「有道云笔记」所有笔记的 Python 脚本。 A Python script to export/backup all the notes of the "Youdao Note".
手写实现李航《统计学习方法》书中全部算法
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Classify persons by their action in internet
Data and code from Applied Predictive Modeling (2013)