Solve puzzles. Improve your pytorch.
- machine-learning
- puzzle
- torch
Repository Index
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A curated list of papers & resources linked to 3D reconstruction from images.
- computer-vision
- 3d-reconstruction
- motion-estimation
- awesome-list
Pre-trained Deep Learning models and demos (high quality and extremely fast)
- models
- caffemodel
- demo
- tensorflow-models
A curated list of reinforcement learning with human feedback resources (continually updated)
- deep-learning
- deep-reinforcement-learning
- human-feedback
- reinforcement-learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Summaries and notes on Deep Learning research papers
Template iOS app using Clean Architecture and MVVM. Includes DIContainer, FlowCoordinator, DTO, Response Caching and one of the views in SwiftUI
TranslatedA hardcore computer science (CS) self-study plan, geared toward software engineering and system architecture
- computer-science
- self-taught
- csapp
- software-engineering
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
This repository contains a detailed sample app that implements MVP architecture using Dagger2, GreenDao, RxJava2, FastAndroidNetworking and PlaceholderView
- mvp-architecture
- dagger2
- rxjava
- fast-android-networking
SICP PDF with Texinfo and LaTeX source
Source Code for Go In Action examples
TranslatedA quick-start tutorial on PyTorch deep learning (absolutely easy to understand!)
- pytorch
- pytorch-tutorial
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
In-depth understanding of Node.js: Core Ideas and Source Code Analysis
- nodejs
- v8
- libuv
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
Translated《御舆：解码 Agent Harness》(Yuyu, "Imperial Carriage: Decoding the Agent Harness"): 420,000 characters dissecting the Harness skeleton and nervous system of AI Agents — an in-depth analysis of the Claude Code architecture, 15 chapters from the conversation loop to building your own Agent Harness. Online reading website:
TranslatedSharing AI Infra knowledge & code exercises: PyTorch, vLLM/SGLang, introductions to the slime/vime frameworks⚡️, performance acceleration🚀, large model fundamentals🧠, AI software and hardware🔧, and more
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment
- clean-architecture
- echo-framework
- golang
- grpc-gateway
Translated📚 Go: Under The Hood | The Original Go Language (Go 语言原本) | https://golang.design/under-the-hood
- golang
- source-code-study
- go
System for AI Education Resource.
A curated list of awesome social engineering resources.
- social-engineering
- awesome-list
- infosec
- psychology