Pinned Repositories
aws-autonomous-driving-data-lake-image-extraction-pipeline-from-ros-bagfiles
This workshop will familiarize you with some of the key steps towards building an autonomous driving data lake and extracting images from ROS bag files. Using these images, you will be able label them using SageMaker Ground Truth and fine-tuning a Machine Learning Model to detect cars.
InternLM
Official release of InternLM2.5 base and chat models. 1M context support
opendatalab-python-sdk
SDK of OpenDataLab - https://opendatalab.org.cn
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
AISystem
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
algo
数据结构和算法必知必会的50个代码实现
ColossalAI
Making big AI models cheaper, easier, and more scalable
flink
Apache Flink
hikCam
thzImageProcess
using python opencv and numpy module to filter,edge detection,find countour
varuy322's Repositories
varuy322/ColossalAI
Making big AI models cheaper, easier, and more scalable
varuy322/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
varuy322/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
varuy322/awesome-bci
Curated Collection of BCI resources
varuy322/awesome-go
A curated list of awesome Go frameworks, libraries and software
varuy322/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
varuy322/build-web-application-with-golang
A golang ebook intro how to build a web with golang
varuy322/dataset2metadata
varuy322/ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
varuy322/examples
Examples for "Kubernetes Patterns - Reusable Elements for Designing Cloud-Native Applications"
varuy322/fastai
The fastai deep learning library
varuy322/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
varuy322/flink-kubernetes-operator
Fork from Apache Flink Kubernetes Operator
varuy322/geektime-books
:books: 极客时间电子书
varuy322/go-collection
:tulip: awesome awesome go, study golang from basic to proficient。Go Study Guide。从学习golang基础和高级特性,到实战,到架构微服务,最后到跑路。
varuy322/go-gin-api
基于 Gin 进行模块化设计的 API 框架,封装了常用功能,使用简单,致力于进行快速的业务研发。比如,支持 cors 跨域、jwt 签名验证、zap 日志收集、panic 异常捕获、trace 链路追踪、prometheus 监控指标、swagger 文档生成、viper 配置文件解析、gorm 数据库组件、gormgen 代码生成工具、graphql 查询语言、errno 统一定义错误码、gRPC 的使用、cron 定时任务 等等。
varuy322/go-proxy-bingai
用 Vue3 和 Go 搭建的微软 New Bing 演示站点,拥有一致的 UI 体验,支持 ChatGPT 提示词,国内可用。
varuy322/hudi-resources
汇总Apache Hudi相关资料
varuy322/iam
企业级的 Go 语言实战项目:认证和授权系统(带配套课程)
varuy322/k8s-source-code-analysis
《k8s-1.13版本源码分析》
varuy322/KnowStreaming
一站式云原生实时流数据平台,通过0侵入、插件化构建企业级Kafka服务,极大降低操作、存储和管理实时流数据门槛
varuy322/Kubernetes-Guide
Kubernetes Guide
varuy322/MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型,实现包括二次预训练、有监督微调、奖励建模、强化学习训练。
varuy322/openai-cookbook
Examples and guides for using the OpenAI API
varuy322/operator-lesson-demo
varuy322/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
varuy322/spark
Apache Spark - A unified analytics engine for large-scale data processing
varuy322/tldextract
Accurately separates a URL’s subdomain, domain, and public suffix, using the Public Suffix List (PSL).
varuy322/train_custom_LLM
Train your custom LLMs like Llama, baichuan-7b, GPT
varuy322/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.