This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
My blogs and code for machine learning. http://cnblogs.com/pinard
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
COCO API - Dataset @ http://cocodataset.org/
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
https://hrl.boyuai.com/
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
- deep-learning
- tensorflow-examples
- convolutional-neural-networks
- recurrent-neural-networks