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Scripts and examples for "From Day Zero to Zero Day" by Eugene Lim.
x64dbg / mona
Forked from corelan/monaFork of mona.py with x64dbg support
BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language ins…
A fork and successor of the Sulley Fuzzing Framework
Wiki to collect Red Team infrastructure hardening resources
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, se…
Obsidian Notes used to passed the OSCP exam and most HTB machines / challenges.
High throughput synchronous and asynchronous reinforcement learning
A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.
A Go language binding for encodeing and decoding data in the bencode format that is used by the BitTorrent peer-to-peer file sharing protocol.
Additional code for Stable-baselines3 to load and upload models from the Hub.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
A Python library to inspect and modify the internal structure of a PDF file
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP…
A cloud-based sports betting prediction system built on AWS that features automated sports data scraping and optimized LSTM model training to predict bets with a positive expected return.
🤗 smolagents: a barebones library for agents that think in code.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Build and run Docker containers leveraging NVIDIA GPUs