Showing 2601-2620 of 3,069 projects
Qucs-S is a circuit simulation program with a Qt-based GUI for electronics and circuit modeling.
GemPy is an open-source 3D structural geological modeling software for implicit creation of complex geological models.
Replica Dataset is a collection of AI-generated data for training and testing machine learning models.
A Python library that provides dynamic thresholding (CFG scale fix) for Stable Diffusion AI models.
A PyTorch library for video activity recognition using C3D, R3D, and R2Plus1D models.
A collection of Jupyter notebooks and tutorials on using LangChain and prompt engineering with large language models like ChatGPT.
LeanCopilot is a C++ library that uses large language models (LLMs) as copilots for theorem proving in the Lean programming language.
A tiny Python library for coding with large language models (LLMs) like GPT-3 and ChatGPT.
A diffusion-based video generation model for trajectory-oriented video synthesis.
An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
A mirror of ChatGPT based on the GPT-3.5-Turbo model, allowing developers to interact with and build upon the ChatGPT functionality.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
PyTorch implementation of the Sparsely-Gated Mixture-of-Experts layer, a powerful AI model architecture.
A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.
An open-source library for entity and relation extraction using TensorFlow and BERT, suitable for NLP tasks.
A collection of novel jailbreak methods for large language models (LLMs) focused on privacy and safety.
A COVID-19 microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis at Imperial College London.
This Jupyter Notebook repository likely contains educational content or examples related to deep learning and AI models.
An explainability toolbox for developers building machine learning models with interpretability and fairness in mind.
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