Trending Projects

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.

PyTorch implementation of the Sparsely-Gated Mixture-of-Experts layer, a powerful AI model architecture.

Classification models trained on ImageNet, for use in computer vision and image classification tasks.

A curated collection of awesome resources for image-to-image translation, a popular computer vision task.

A diffusion-based video generation model for trajectory-oriented video synthesis.

A Python library for reconstructing watertight meshes from point clouds using deep learning.

A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.

An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.

Learn CUDA Programming, a library for developing high-performance, parallel applications on NVIDIA GPUs.

A mirror of ChatGPT based on the GPT-3.5-Turbo model, allowing developers to interact with and build upon the ChatGPT functionality.

TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.

A collection of novel jailbreak methods for large language models (LLMs) focused on privacy and safety.

An evolutionary algorithm library in Python for developers interested in AI and machine learning.

A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.

An agentic Machine Learning Engineer toolkit for AI-focused developers and researchers.

A tutorial to build a RAG (Retrieval Augmented Generation) system from scratch using local LLMs and no black boxes.

An enterprise-grade, API-first LLM workspace for unstructured document processing, with features like data extraction, redaction, and prompt engineering.

Efficient communication library for GPUs, covering collectives, P2P, and EP for AI/ML workloads

An open-source library for entity and relation extraction using TensorFlow and BERT, suitable for NLP tasks.

A Scala-based hardware accelerator for deep neural networks, part of Berkeley's AI hardware research.

PyTorch implementation and explanation of popular graph representation learning papers.

Explore fractals in an audio-visual sandbox with this C++ project focused on generative art and sound.

This Jupyter Notebook repository likely contains educational content or examples related to deep learning and AI models.

Pretty Tensor is a fluent interface for building TensorFlow models in Python, making it easier for developers to work with AI.

Luminol is an anomaly detection and correlation library for Python, useful for identifying unusual patterns in data.

This C++ library is for visual-inertial odometry (VIO) and state estimation for robotic applications.

A Rust-based AI agent framework for creating AI-powered creative assistants and tools.

A library for keyword spotting on Arm Cortex-M microcontrollers using machine learning and the CMSIS-NN framework.

A Python command-line client for the Whisper speech-to-text model by OpenAI, using the CTranslate2 library.

A central hub for extending OpenMMLab's powerful computer vision capabilities with SAM and other AI features.

An explainability toolbox for developers building machine learning models with interpretability and fairness in mind.

Code for a paper on parameter-efficient fine-tuning of large language models using adapter modules.

Diffusion-LM is a Python library for training and using large language models with diffusion models.

A reference BLEU implementation that auto-downloads test sets and reports a version string.

A curated list of resources for relation extraction, a key NLP task, useful for vibe coders.

A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.

Objaverse-XL is a massive 3D object dataset with APIs for downloading and processing the data, useful for computer vision and 3D modeling projects.

A collection of openFrameworks apps for working with machine learning, suitable for vibe coders.

AdvancedEAST is an algorithm for accurate scene text detection, with improvements over the EAST algorithm.

A collection of papers, repositories, and data related to anime and manga research, primarily focused on deep learning and machine learning.

FeatherCNN is a high-performance inference engine for convolutional neural networks.

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!

A collection of resources for speech enhancement, speech separation, and sound source localization.

Code for a paper on feed-forward synthesis of textures and stylized images using neural networks.

A repository that provides daily updates on the latest research papers related to large language models (LLMs).

This repository provides deep learning algorithm source code for beginners to learn and practice.

PyTorch implementation of a fractal generation algorithm for AI-powered creative coding.

Easily manage your preferred AI digital assistants on Android with this open-source Android app.

A Python module for Dynamic Time Warping (DTW), a powerful technique for measuring similarity between time series data.

Moonshot's advanced LLM for reasoning and code generation tasks