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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

TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)

TranslatedWords learning and English muscle memory training software designed for keyboard workers

  • english-learning
  • typing-practice
  • typing-game
  • typingspeedtest

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  • nlp
  • pre-trained-model
  • unilm
  • minilm

💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)

  • lodash
  • golang
  • go
  • generics

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.