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Discover 433 open source projects
Showing 141-160 of 433 projects
susanli2016/NLP-with-Python
A collection of Jupyter Notebooks demonstrating various NLP techniques and libraries like Scikit-Learn, NLTK, Spacy, and Gensim.
liucongg/ChatGLM-Finetuning
A Python library for fine-tuning the ChatGLM language model for downstream tasks using techniques like Freeze, LoRA, and P-tuning.
phanein/deepwalk
DeepWalk is a Python library that learns feature representations for nodes in a graph using deep learning techniques.
wcventure/FuzzingPaper
This is a repository that collects recent research papers on fuzzing, a software testing technique.
Integration-IT/Active-Directory-Exploitation-Cheat-Sheet
This repository provides a comprehensive cheat sheet for common Active Directory enumeration and exploitation techniques.
spcl/graph-of-thoughts
An open-source implementation of the 'Graph of Thoughts' technique for solving complex problems with large language models.
google-deepmind/mctx
A JAX-based library for Monte Carlo tree search, a reinforcement learning technique useful for AI agents.
intel/neural-compressor
Optimizes large language models for low-bit precision and sparsity, improving model compression techniques.
matterpreter/DefenderCheck
A C# research tool that identifies the bytes that Microsoft Defender flags on, useful for security researchers and developers working on evasion techniques.
DenisSergeevitch/chatgpt-custom-instructions
A collection of custom prompts for ChatGPT, focused on AI-powered coding tools and techniques.
quic/aimet
AIMET is an open-source library for advanced quantization and compression techniques in trained neural network models.
divkit/divkit
DivKit is an open-source Server-Driven UI framework that enables building mobile app UIs with JSON on the server.
decodingai-magazine/second-brain-ai-assistant-course
Learn to build a Second Brain AI assistant with LLMs, agents, and fine-tuning techniques.
NeuronDance/DeepRL
A platform for exploring and experimenting with deep reinforcement learning techniques and applications.
jindongwang/transferlearning-tutorial
A tutorial on transfer learning, a fundamental technique in machine learning and AI.
SinaKarvandi/Hypervisor-From-Scratch
A tutorial series that teaches developers how to build a hypervisor from scratch using C and virtualization techniques.
markdregan/Bayesian-Modelling-in-Python
A Python tutorial on Bayesian modeling techniques using the PyMC3 library.
wenbihan/reproducible-image-denoising-state-of-the-art
A comprehensive collection of popular and reproducible image denoising techniques and implementations.
athina-ai/rag-cookbooks
This repository provides advanced techniques and cookbooks for building Retrieval-Augmented Generation (RAG) systems.
TheMozg/awk-raycaster
A pseudo-3D shooter game written entirely in the AWK scripting language using raycasting techniques.
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