Showing 1141-1160 of 1,591 projects
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.
A toolkit to optimize machine learning models for deployment, including quantization and pruning.
An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.
This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.
A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.
An implementation of the 3D Ken Burns Effect from a single image using PyTorch.
An anti-DDoS Lua script for Nginx to protect web servers from various attack types using a JavaScript-based authentication puzzle.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
A Python library for a one-shot face swap approach for image and video domains using deep learning.
Enzyme is a high-performance automatic differentiation library for LLVM and MLIR, enabling efficient machine learning and scientific computing.
A simple PyTorch implementation of Generative Adversarial Networks (GANs) for vibe coders exploring AI-powered generative models.
This is a deep learning curriculum focused on language model alignment, not a developer discovery platform.
A Python library for adding AI-powered image manipulation capabilities to the GIMP image editor.
A PyTorch Lightning template that makes it easy to adapt your existing PyTorch code to use the Lightning framework.
A deep-dive on the entire history of deep-learning, useful for developers interested in AI and machine learning.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
A memory-efficient implementation of the DenseNet deep learning architecture in PyTorch.
A high-performance GEMM library for deep learning inference on CPUs, developed by Facebook.
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