zjen000's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
lining808/CS-Ebook
一个高质量、经典计算机书籍推荐清单,特点为:只收集高质量,各方向经典书籍,不求书多,只求书精。
foochane/books
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
hbchen121/algorithm-interview-materials
算法岗面试资料-百面深度学习、百面机器学习书籍等等
caojie060/docs
我的博客
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
nndl/exercise
exercise for nndl
lin-shuyu/VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
RobRomijnders/AE_ts
Auto encoder for time series
tejaslodaya/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
zlsdu/Word-Embedding
Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding
hundredblocks/concrete_NLP_tutorial
An NLP workshop about concrete solutions to real problems
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
AimeeLee77/keyword_extraction
利用Python实现中文文本关键词抽取,分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。
leerumor/nlp_tutorial
NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
smoothnlp/SmoothNLP
专注于可解释的NLP技术 An NLP Toolset With A Focus on Explainable Inference
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
intel-analytics/BigDL-2.x
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
recommenders-team/recommenders
Best Practices on Recommendation Systems
wyl6/Recommender-Systems-Samples
Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.
Johnson0722/CTR_Prediction
CTR prediction using FM FFM and DeepFM
jpmml/sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard