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🧑🏫 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, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
Machine Learning Engineering Open Book
Code samples for my book "Neural Networks and Deep Learning"
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- machine-learning
- machine-intelligence
- artificial-intelligence
- reinforcement-learning
Low-code framework for building custom LLMs, neural networks, and other AI models
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
- accelerator
- ai-infra
- ai-infrastructure
- book
Dark Web OSINT Tool
- tor
- tor-network
- deepweb
- dark-web
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
- tracking
- computer-vision
- siamese-network
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Graph Algorithms
🎆 A visualization of the CapsNet layers to better understand how it works
- capsule-network
- tensorflow
- python
- hinton
algorithms for community detection from n-partite networks