ML/DL/RL
A game theoretic approach to explain the output of any machine learning model.
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
awesome papers in LLM interpretability
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
收集所有区块链(BlockChain)技术开发相关资料,包括Fabric和Ethereum开发资料
Machine Learning Engineering Open Book
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)