Showing 161-180 of 1,591 projects
A C++ toolkit for building real-world machine learning and computer vision applications.
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Face recognition using the FaceNet deep learning model, built with TensorFlow.
A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
A Python package for deep learning on graphs, built to ease existing DL frameworks.
Suite of tools for deploying and training deep learning models using the JVM
Unstructured is an open-source ETL solution for transforming complex documents into structured data for language models.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
A PDF version of the renowned MIT Deep Learning Book, a comprehensive resource for studying machine learning and neural networks.
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
Open-source simulator for autonomous driving research.
SadTalker is a CVPR 2023 project that enables stylized audio-driven single image talking face animation.
Open source implementation of CLIP, a contrastive learning model for multi-modal tasks like zero-shot classification.
A Python library for fast, customizable, and interactive data profiling and exploratory data analysis.
An open-source implementation of the LoRA (Low-Rank Adaptation) technique for fine-tuning large language models.
An open-source deep learning book based on TensorFlow 2.0, providing hands-on examples for vibe coders.
A Go-based framework for deep document understanding, semantic retrieval, and context-aware question answering using the RAG paradigm.
A library for generating psychedelic images using a deep learning algorithm.
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