Use LightGBM,XGBoost and RNN to solve Kaggle Campaign : Fake News Detection Challenge KDD 2020
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
12 Weeks, 24 Lessons, AI for All!
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《李宏毅深度学习教程》（李宏毅老师推荐?，苹果书?），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Code for Tensorflow Machine Learning Cookbook
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
