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A collection of resources related to event-based vision technology, including papers, workshops, datasets, and code.
A code-first introduction to natural language processing (NLP) using Python and Jupyter Notebooks.
A PyTorch library for Bayesian optimization, a powerful tool for machine learning model tuning and optimization.
NLPIR is an open-source library for natural language processing in various languages.
A photo-realistic single image super-resolution using a generative adversarial network (SRGAN) library.
Mesa is an open-source Python library for agent-based modeling and simulation of complex systems.
An open-source deep learning-based tool for automatic colorization of grayscale images.
A handbook for beginners on writing AI conference papers, useful for vibe coders working with AI tools.
ChatOllama is an open-source AI chatbot that brings cutting-edge language models to your fingertips while keeping your data private and secure.
Java SDK for ChatGPT with support for streaming output, plugins, and offline mode, providing access to OpenAI's APIs.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
The next generation deep reinforcement learning toolkit for AI researchers and developers.
A high-performance distributed training framework for Reinforcement Learning in Python
A fast and simple framework for building neural data processing pipelines using Python.
An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.
A high-performance deep learning architecture that improves upon the classic VGG model.
A flexible AutoML framework with learning guarantees for building high-performance AI models.
Fast R-CNN is a high-performance object detection library written in Python.
A curated collection of Python scripts from basics to advanced, including automation tasks.
A lightweight, fast, and efficient text-to-speech library for developers who need to add voice functionality to their projects.
A large-scale vision-language model for video understanding and generation.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
Common Voice is an open-source project to help teach machines how real people speak through crowdsourcing.
GLM (General Language Model) is a large language model framework for natural language processing tasks.
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
A text detection library using the CTPN model, supporting ID card detection and robust reading.
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
This GitHub repository provides AI and Machine Learning tutorials and examples using Kubeflow, Amazon EKS, and SageMaker.
An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.
A Python library that enables editing of images using AI-powered tools like Segment Anything, ControlNet, and Stable Diffusion.
A Python library for generating photorealistic training images using the Blender 3D software.
Jiagu is a deep learning-based NLP toolkit that provides features like Chinese word segmentation, NER, sentiment analysis, and more.
A denoising autoencoder with adversarial losses and attention mechanisms for face swapping.
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
An open-source platform for game research and reinforcement learning experimentation.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
A powerful graph embedding library for generating node embeddings from large-scale graph-structured data.
A library of semantic segmentation architectures implemented in PyTorch for computer vision applications.
A Python tool for the Stable Diffusion WebUI that allows for the visualization of model differences.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
A Python library that provides reinforcement learning algorithms and environments for various card games
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
A Python package to easily retrain OpenAI's GPT-2 text-generation model on new texts.
Sample code for the Microsoft Cognitive Services Speech SDK, which allows developers to build voice-enabled applications.
LangChain is a framework for building applications with large language models (LLMs).
PyTorch extensions for high performance and large scale training.
A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)
An open-source project that helps developers learn about large language models (LLMs), LLM operations, and vector databases for building real-time financial AI assistants.
Improved AnimateDiff for ComfyUI and Advanced Sampling Support for AI-powered animation and image generation.
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