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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
A high-throughput and memory-efficient inference and serving engine for LLMs
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of design patterns/idioms in Python
A toolkit for developing and comparing reinforcement learning algorithms.
SGLang is a high-performance serving framework for large language models and multimodal models.
Fast and memory-efficient exact attention
verl: Volcano Engine Reinforcement Learning for LLMs
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Daemon to ban hosts that cause multiple authentication errors
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
CTF framework and exploit development library
A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.
Quickly rewrite git repository history (filter-branch replacement)
An educational resource to help anyone learn deep reinforcement learning.
Exploit Development and Reverse Engineering with GDB & LLDB Made Easy
ModelScope: bring the notion of Model-as-a-Service to life.
An advanced memory forensics framework