Trending Projects

A Python repository for experimenting with deep learning and computer vision using images of cats.

Provides a collection of efficient and well-tested metric learning algorithms in Python for machine learning tasks.

A desktop app that makes it easy to run Alpaca and other LLaMA-based local language models on your computer.

A Python library that uses Google's BERT for named entity recognition on the CoNLL-2003 dataset.

A library providing pre-trained subword embeddings in 275 languages, useful for natural language processing tasks.

A template for deploying a Keras-based image classifier web app using Flask in 10 minutes.

A Python library that implements the mixup data augmentation technique for improving model performance on the CIFAR-10 dataset.

A collection of PyTorch tricks and tutorials for developers working with AI and machine learning.

A darknet-based text detection and OCR library for developers working with computer vision AI.

A collection of cool computer vision, learning, and graphics papers focused on cats.

A Python library for building AI-powered applications and tools for developers.

A Python library for easily training text-generating neural networks on any text dataset.

Collection of popular generative models in TensorFlow for developers interested in AI tools

A Python package to easily retrain OpenAI's GPT-2 text-generation model on new texts.

A Python library for inspecting and explaining machine learning models and their predictions.

A library for building graph neural networks using Keras and TensorFlow 2.

A curated list of papers related to neural networks and machine learning, useful for AI and ML developers.

A collection of high-impact and state-of-the-art single image super-resolution methods.

A Python library for text classification using compressors for low-resource settings.

Large-scale linear classification, regression, and ranking library for Python developers.

A curated collection of articles and resources on search, recommendation, and natural language processing.

A collection of 50 tips and tricks for using the scikit-learn machine learning library in Python.

An open-source project for experimenting with natural language processing on the Sogou dataset, including text classification, clustering, word embeddings, sentiment analysis, and relation extraction.

A tutorial for deep learning researchers to understand the basics of distribution probability.

A comprehensive guide and compendium of information on the Stable Diffusion AI model and its ecosystem.

Stylized Neural Painting is a PyTorch implementation for neural-based image stylization and painting translation.

A lightweight parameter server interface for distributed machine learning applications.

A memory-efficient implementation of the DenseNet deep learning architecture in PyTorch.

A collection of sample code for Google Cloud's Machine Learning Engine, now migrated to the Vertex AI samples repo.

A BERT-based knowledge graph question-answering system with online and offline modes.

A set of Swift types and functions that make it easier to work with Core ML in iOS apps.

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

Universal instance perception model for object detection, segmentation, and tracking in videos.

A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.

GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.

Open-source PyTorch implementation of an end-to-end automatic speech recognition (ASR) system.

Real-time object detection library with support for 9000+ classes, suitable for AI/ML developers.

A TypeScript project that allows you to chat with Hacker News using natural language, built with OpenAI Functions and Vercel AI SDK.

A curated collection of open-source datasets for training instruction-following large language models (LLMs) like ChatGPT and LLaMA.

A comprehensive survey of GAN inversion techniques, a powerful method for manipulating and editing AI-generated images.

EleutherAI/math-lm is a Python library for training and using large language models for mathematical tasks.

Evaluation tool for building and testing LLM-powered QA chains in Python.

This repository provides the latest state-of-the-art results for a wide range of machine learning problems.

A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.

A deep learning course platform focused on the fastai library and PyTorch for vibe coders and AI enthusiasts.

An open-source deep learning library developed by Amazon for building scalable machine learning models.

Lasagne is a lightweight library for building and training neural networks in Theano, a powerful Python library for machine learning.

Open-sourced Chinese language models developed by researchers and engineers.

LDA2Vec is a Python library for topic modeling and word embeddings, useful for vibe coders building AI-powered applications.

A powerful tool for attribute-conditioned exploration of StyleGAN-generated images using Conditional Continuous Normalizing Flows.