Yuan227719's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
kubernetes/kubernetes
Production-Grade Container Scheduling and Management
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
zhisheng17/flink-learning
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
ben1234560/k8s_PaaS
如何基于K8s(Kubernetes)部署成PaaS/DevOps(一套完整的软件研发和部署平台)--教程/学习(实战代码/架构设计/大量注释/操作配图),你将习得部署如:K8S(Kubernetes)、Dashboard、Harbor、Jenkins、本地Gitlab、Apollo框架、Promtheus、Grafana、Spinnaker等。
algorithmzuo/algorithm-journey
左程云的算法和数据结构通关课
collabH/bigdata-growth
大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。
LAION-AI/CLAP
Contrastive Language-Audio Pretraining
AlibabaResearch/DAMO-ConvAI
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
algorithmzuo/class-notes
全部算法课讲解知识点提纲、题目汇总、PPT合集、学前必读、学习规划
whirlys/BigData-In-Practice
大数据实践项目 Hadoop、Spark、Kafka、Hbase、Flink.....
TALKDATA/JavaBigData
【大数据必备】非科班转行Java大数据面经分享
kevinyan815/LearningKubernetes
开发工程师的Kubernetes学习笔记
WangyuchenCS/Transformer_encoder_pytorch
Transformer Encoder PyTorch note
Link-Li/CLMLF
thuiar/ch-sims-v2
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
TmacMai/Multimodal-Information-Bottleneck
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations (MIB for multimodal sentiment analysis)
jwzhanggy/tinyBIG
tinybig for deep function learning
XpastaX/ConFEDE
pierre94/kafka-notes
kafka学习笔记
kiva12138/CubeMLP
The implementation of CubeMLP
mlvlab/MELTR
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (CVPR 2023)
skeletonNN/NHFNet
georgepar/mmlatch
Code for MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis https://arxiv.org/abs/2201.09828 (to be presented in ICASSP 2022)
FeipengMa6/PriSA
[ICME 2023 Oral] Pytorch implementation for Multimodal Sentiment Analysis with Preferential Fusion and Distance-aware Contrastive Learning.
STARchen66/example-Flink
Flink代码实现
WSXRHFG/DBF
zhaoyang9425/SER
Unimodal/Multimodal Sentiment Analysis、Emotion Recognition