zhuweikang

zhuweikang's Stars

• AndyYue1893/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  5112

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

  4k218

• datawhalechina/leedl-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

  Language:Jupyter Notebook13.3k2.9k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.5k2.4k

• jingwei87/reading

  5625

• DEAP/deap

  Distributed Evolutionary Algorithms in Python

  Language:Python5.8k1.1k

• microsoft/SPTAG

  A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

  Language:C++4.8k582

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python185k44.5k

• eliorc/node2vec

  Implementation of the node2vec algorithm.

  Language:Python1.2k247

• lucashu1/link-prediction

  Representation learning for link prediction within social networks

  Language:Jupyter Notebook340115

• gao-lab/Guideline-for-Computational-Biology-and-Bioinformatics

  30993

• zkywsg/Daily-DeepLearning

  🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

  Language:Jupyter Notebook614136

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.8k4.5k

• dmlc/xgboost

  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

  Language:C++26.1k8.7k

• halfrost/Halfrost-Field

  ✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

  Language:Go12.9k1.9k

• SUwonglab/PECA

  PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data

  Language:MATLAB426