Deep Learning
Showing 36 of 937 projects
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.
Automatic and interactive image colorization using deep neural networks, with PyTorch models for ECCV 2016 and SIGGRAPH 2017 papers.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
A neural network library optimized for dynamic structures that change per training instance, with C++ and Python bindings.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
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 collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
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.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.