Deep Learning
Showing 36 of 937 projects
A Python library for augmenting images and associated data (heatmaps, keypoints, bounding boxes) for machine learning projects.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A modern C++ toolkit for machine learning, computer vision, and data analysis applications.
A Python package for deep learning on graphs, framework-agnostic and optimized for performance and scalability.
A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
NVIDIA's SDK for high-performance deep learning inference optimization and deployment on NVIDIA GPUs.
A PyTorch library providing state-of-the-art methods for generating visual explanations (Class Activation Maps) for computer vision models.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A comprehensive study plan and resource collection for preparing for machine learning engineering interviews at top tech companies.
Official JAX/Flax implementation of Vision Transformer (ViT) and MLP-Mixer for image recognition, with pre-trained models.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
A Python library for language-vision intelligence research, providing unified access to state-of-the-art models, datasets, and tasks.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A Python library for building custom machine learning models for tasks like image classification, object detection, and recommendations.
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
An open-source inference serving platform for deploying AI models from multiple frameworks across cloud, data center, and edge devices.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A PyTorch implementation of YOLOv3 for real-time object detection, supporting export to ONNX, CoreML, and TFLite.
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
Code examples and tutorials for Stanford's TensorFlow for Deep Learning Research course (CS 20).
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
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