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A library to generate LaTeX expression from Python code.
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
An autoregressive character-level language model for making more things
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
A resource for learning about Machine learning & Deep Learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
All notes and materials for the CS229: Machine Learning course by Stanford University
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
📚 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, in…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Understanding Deep Learning - Simon J.D. Prince
200 LeetCode practice problems for beginners in algorithms and data structures
A framework for large scale recommendation algorithms.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems