Inference code for Llama models

A curated list of reinforcement learning with human feedback resources (continually updated)

Ongoing research training transformer models at scale

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

TensorFlow code and pre-trained models for BERT

GPT-3: Language Models are Few-Shot Learners

Optimize softmax in triton in many cases

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

OpenMMLab's next-generation platform for general 3D object detection.

深度学习经典、新论文逐段精读

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

明医 (MING)：中文医疗问诊大模型

【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

Development repository for the Triton language and compiler

Fast and memory-efficient exact attention

xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

SGLang is a fast serving framework for large language models and vision language models.

A high-throughput and memory-efficient inference and serving engine for LLMs

🚀🚀 「大模型」3小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 3 hours!

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

2020-cs231n个人代码

numpy实现常用的的机器学习库,分类模型实现:KNN，LDA，LR，Decision Tree(ID3,C4.5,CART)，RF，perception，SVM，Neural network，GBDT，Xgboost，Adaboost;回归模型实现 :LASSO，Ridge，LR，RF，Decision Tree(ID3,C4.5,CART);非监督模型 :PCA，Kmeans，SVD;概…

数据特征工程、各种机器学习回归模型、回归数据预处理

利用回归模型实现房价预测