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A comprehensive tutorial on Stable Diffusion, an AI-powered image generation tool, covering beginner to advanced topics.
A powerful Python library for advanced text analytics, including classification, clustering, summarization, and sentiment analysis.
This repository provides a model pruning technique for the YOLOv3 object detection model on the Oxford Hand dataset.
A visual debugging tool for machine learning models that provides a model-agnostic approach.
A deep reinforcement learning library for developing AI agents using neuroevolution.
An open-source toolbox and benchmark for model compression and acceleration in PyTorch.
A Python-based Telegram bot that integrates with the ChatGPT language model, allowing users to interact with it through Telegram.
A Python library for 3D object detection from RGB-D data using deep learning.
A demo for running neural networks across different deep learning frameworks
An efficient PyTorch implementation of the EfficientDet object detection model with ported weights.
A Jupyter Notebook project that generates images from text, focused on the Russian language.
A Python package that makes it easy for developers to create AI apps powered by various AI providers.
A tutorial for deep learning researchers to understand the basics of distribution probability.
A Python framework for quick implementation of recommender systems using TensorFlow.
The Pile is a large, diverse language model training dataset for use in AI research and development.
A Python library that makes it easy to deploy LangChain apps using Jina and FastAPI in production.
A collection of GAN implementations in PyTorch, including progressive growing of GANs.
A curated list of papers and resources on text style transfer, a task in natural language processing.
A curated list of Tiny Object Detection papers and related resources for developers working with AI-powered computer vision.
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
A TensorFlow implementation of contextualized word representations from bi-directional language models.
A TensorFlow/Keras implementation of the Stable Diffusion AI model for text-to-image generation.
This GitHub repository contains deep learning papers and resources focused on medical image analysis.
A tutorial on using scikit-learn and IPython for parallel machine learning tasks.
A dense image captioning library in Torch for developers working on computer vision AI projects.
A powerful Rust crate for building chains in large language models, enabling text summarization and complex task completion.
An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.
Tutorials and implementations for self-normalizing neural networks, a type of AI model.
A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.
A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.
A community-driven repository for Keras, a popular deep learning library for Python.
A real-time globally consistent 3D reconstruction library using online surface re-integration.
A pre-trained Chinese language model for text generation, useful for AI-powered coding and content creation.
A self-driving MarioKart game built with TensorFlow, a powerful machine learning library.
Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.
A collection of must-read papers on adversarial attacks and defenses for natural language processing.
A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.
Official implementation of a composable, controllable, and creative image synthesis model.
A Chinese-language Keras documentation with more examples, explanations, and tips for developers.
A crime assistant project that includes crime type prediction and legal consultation using NLP and a crime knowledge graph.
A Python library for a one-shot face swap approach for image and video domains using deep learning.
Lore makes machine learning approachable for software engineers and maintainable for ML researchers.
A set of LangChain Tutorials for developers building AI-powered applications.
A PyTorch implementation of the BiDAF network for question-answering on the SQuAD dataset.
A memory-efficient implementation of the DenseNet deep learning architecture in PyTorch.
A collection of sample code for Google Cloud's Machine Learning Engine, now migrated to the Vertex AI samples repo.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
SUSI.AI Smart Box is an open-source virtual assistant platform for building conversational AI agents.
Plugin to integrate Learning to Rank (machine learning for better relevance) with Elasticsearch
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