Trending Projects

A curated collection of ChatGPT prompts and guides for developers to enhance their ChatGPT experience.

A dataset for fake news detection research using Python.

An efficient multimodal large language model with a small backbone for AI-powered coding tools.

A Python toolbox to investigate neural networks' predictions and understand model behavior.

PORORO is a powerful Python library that provides a wide range of neural models for natural language processing tasks.

A zero-shot image editing tool that allows users to transfer textures and styles from reference images.

Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.

A PyTorch implementation of BERT for sequence-to-sequence tasks, including text summarization, classification, and generation.

A differentiable PyTorch-compatible library for working with finite-state automata and transducers.

This is a topics course on deep learning from UC Berkeley, not a developer platform focused on vibe coders.

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources.

An open-source text summarization library built with pre-trained language models for developers.

An AI-powered tool for efficient abstract and PDF screening in systematic reviews.

A curated list of awesome resources for model-based reinforcement learning.

Official repository for the Mish activation function, a novel neural network activation function.

A TensorFlow-based recommendation algorithm and framework for building recommendation systems in Python.

A library for building multi-layer recurrent neural networks (RNNs) for word-level language models in Python using TensorFlow.

A Pytorch-based RNN model for anomaly detection in time-series data.

An experimental OCR project implementing a CNN+BLSTM+CTC architecture for vision-based text recognition.

This Python project converts the Anthropic Claude API to the OpenAI ChatGPT API format, enabling seamless integration.

A PyTorch library for joint discriminative and generative learning for person re-identification.

Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.

High-performance neural inpainting library for filling in missing regions in high-resolution images.

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

An open-source multilingual extension of the T5 transformer model, enabling advanced NLP capabilities across languages.

This is a Netflix-maintained open-source library, but the description and purpose are unclear.

An open-source stack for building large language model-powered applications using Next.js and Vercel.

Automatic 2D-to-3D video conversion tool using convolutional neural networks.

A tutorial project for learning machine learning using the Theano library in Python.

A Python library for generating prompts for the Claude AI language model.

A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.

A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.

A state-of-the-art pretrained language model for proteins, enabling advanced AI-powered protein analysis.

NVlabs/alias-free-gan is a project related to generative adversarial networks (GANs) and image generation.

Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.

A free online book that teaches machine learning from scratch using Jupyter Notebooks.

This is a computer vision library for visual object tracking, specifically focused on handling distractors.

Basaran is an open-source alternative to the OpenAI text completion API, providing a compatible streaming API for Hugging Face Transformers-based text generation models.

A Python library for modeling dynamic urban scenes using Gaussian splatting, useful for computer vision tasks.

Instant-NGP in PyTorch+CUDA with PyTorch Lightning for high-quality, high-speed 3D reconstruction and novel view synthesis.

Samples for TensorRT/Deepstream for Tesla & Jetson, focused on AI-powered IoT applications.

An AI-powered program that automates playing the WeChat Jump Game.

A Python library for learning graph embeddings and applying them to tasks like link prediction.

A Jupyter Notebook project for detecting text in natural images using the Connectionist Text Proposal Network (CTPN) algorithm.

A machine learning library for transportation data imputation and prediction.

A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.

Deep learning framework for the Julia programming language, focused on building AI-powered applications.

A plugin for IDA that can help analyze binary files using AI models like OpenAI and DeepSeek.

A PyTorch Lightning code guideline and template for building deep learning projects.

A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.