conquer-wang

conquer-wang

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Awesome-LLM-Inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

License:GPL-3.0Stargazers:2585Issues:0Issues:0

BERT-related-papers

BERT-related papers

Stargazers:2032Issues:0Issues:0

LLM-Agent-Paper-List

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Stargazers:6349Issues:0Issues:0

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

Stargazers:1217Issues:0Issues:0

Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

License:MITStargazers:1687Issues:0Issues:0

GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

Language:PythonLicense:MITStargazers:7451Issues:0Issues:0

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:28150Issues:0Issues:0

Ensemble-Learning

集成学习思维导图

Stargazers:11Issues:0Issues:0

stylegan2

StyleGAN2 - Official TensorFlow Implementation

Language:PythonLicense:NOASSERTIONStargazers:10952Issues:0Issues:0

controllability

Controllability of complex network

Language:PythonStargazers:6Issues:0Issues:0

Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Language:MATLABStargazers:3537Issues:0Issues:0
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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/

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:9189Issues:0Issues:0

the-gan-zoo

A list of all named GANs!

Language:PythonLicense:MITStargazers:14244Issues:0Issues:0

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Language:PythonLicense:MITStargazers:2891Issues:0Issues:0

kNN

机器学习实战

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tutorials

机器学习相关教程

Language:PythonLicense:MITStargazers:11758Issues:0Issues:0

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Language:PythonLicense:MITStargazers:5215Issues:0Issues:0

recommenders

Best Practices on Recommendation Systems

Language:PythonLicense:MITStargazers:18894Issues:0Issues:0

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。

Language:PythonLicense:Apache-2.0Stargazers:61829Issues:0Issues:0

Recommand-Algorithme

推荐算法实战(Recommend algorithm)

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alphaFM

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

Language:C++License:MITStargazers:881Issues:0Issues:0

fun-rec

推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:4235Issues:0Issues:0

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 NotebookLicense:NOASSERTIONStargazers:13279Issues:0Issues:0

interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

Language:C++License:NOASSERTIONStargazers:34599Issues:0Issues:0

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

Language:PythonLicense:NOASSERTIONStargazers:3409Issues:0Issues:0

EMOGI

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:138Issues:0Issues:0

machine-learning-interview

算法工程师-机器学习面试题总结

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