The JavaScript Way book
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Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
- artificial-intelligence
- attention-mechanisms
- deep-learning
- reinforcement-learning
A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
- outline
- character
- urp
- shader
TranslatedMachine Learning Yearning Chinese version - 《机器学习训练秘籍》 (Machine Learning Training Secrets) - by Andrew Ng
Implementation of popular deep learning networks with TensorRT network definition API
- tensorrt
- mnasnet
- resnet
- squeezenet
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
- machine-learning
- scale
- workflow
- mlops
The first AI that can earn its own existence, replicate, and evolve — without needing a human
TranslatedPython for "Deep Learning": mathematical derivations, principle analysis, and source-code-level implementations for the book "深度学习" (Deep Learning, known as the "Flower Book")
- python
- deep-learning
- machine-learning
- xgboost
Infrastructure for continually self‑improving agents
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
- aws
- aws-bedrock
- anthropic-claude
- aws-cdk
TranslatedZhou Zhihua's "Machine Learning", also known as the Watermelon Book, is a fairly comprehensive book that introduces in detail different types of algorithms in the field of machine learning (for example: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, ensemble learning, dimensionality reduction, feature selection, etc.). It records my own line of understanding and extended knowledge points from my learning process, and I hope it helps newcomers reading the Watermelon Book!
Translated青简 Qingjian ("green bamboo slips"): a pinyin input method written in Rust, with an extra translated word in the language you are learning shown next to each candidate word
- chinese
- chinese-input-method
- english-learning
- ime
Awesome Books
this repository accompanies the book "Grokking Deep Learning"
TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
- k8s
- kubernetes
- kubernetes-cluster
- kubernetes-deployment
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
- machine-learning
- deep-learning
- linear-algebra
- probability
A Collection of Variational Autoencoders (VAE) in PyTorch.
- pytorch
- pytorch-implementation
- vae
- vae-implementation
A visual overview of useful skills to learn as a web developer
- html
- css
- javascript
- accessibility
My learning notes for ML SYS.
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼