Lists (29)
Agentic app tools
Auth related
Computer Vision
Courses
Crypto
Dev tools
Dev with AI
Embeddings
Evaluate NLG
Foundation research
High performance ML
Image recognition
Inference engine
Information extraction/retrieval
Interview-related
LLM
LLM app dev
LLM prompt
MLOps
Multilingual embedding
Multimodal ML
Parameter-Efficient Fine-Tuning
Prompt optimization
Python coding
RL model training
Scalable ML
Speech & Voice ML
System / architecture design
Working tools
Stars
Simple HTML5 Charts using the <canvas> tag
Resumes generated using the GitHub informations
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Roadmap to becoming an Artificial Intelligence Expert in 2022
Lime: Explaining the predictions of any machine learning classifier
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Friendly machine learning for the web! 🤖
Publication-ready NN-architecture schematics.
React app for inspecting, building and debugging with the Realtime API
Node.js + JavaScript reference client for the Realtime API (beta)
A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab