Deep Learning
Showing 36 of 402 projects
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
A deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.
A simple and versatile framework for object detection and instance recognition with extensive model coverage and distributed training.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A curated list of deep learning image classification papers and their code implementations since 2014.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A deep learning framework for research, development, and production with flexible Python API and C++ core.
A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A curated collection of hands-on data science project ideas and resources for learning machine learning and AI concepts.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
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