Trending Projects

SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.

A curated list of papers and resources on open set recognition, out-of-distribution detection, and open world recognition.

A full-stack MERN application that allows users to generate AI-powered images using OpenAI's DALL-E and Midjourney models.

A comprehensive optimization library for the Julia programming language.

Unofficial PyTorch implementation of Google AI's VoiceFilter system for audio separation.

DeblurGAN-v2 is a deep learning-based solution for fast and high-quality image deblurring, useful for vibe coders working with computer vision.

A Python library for building recommender systems using deep learning techniques.

An official implementation of facial landmark detection using the Deep High-Resolution Representation Learning (HRNet) approach.

A lean C++ library for working with point cloud data, with support for various 3D data processing tasks.

A benchmarking tool for measuring performance of deep learning operations on different hardware.

Aria is an open-source multimodal AI framework for building vision and language models.

A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.

A Python library for bi-level optimization, useful for training AI models and algorithms.

A Python framework and strategy for trading cryptocurrencies using machine learning and optimized signals.

GPT-3 is a large language model developed by OpenAI, showcasing few-shot learning capabilities.

A Python library for upsampling images using a self-supervised generative model approach.

LLocalSearch is a locally running search aggregator using LLM Agents to find answers from user questions.

A Python library that provides the most popular metrics used to evaluate object detection algorithms.

Tune-A-Video is a one-shot text-to-video generation tool that fine-tunes image diffusion models.

A Python package that provides a CLI and workflow manager for large language models (LLMs) like GPT-3 and GPT-4.

A high-performance and generic framework for distributed deep neural network training

Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.

A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)

A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.

A Python library for evaluating the performance of neural networks for object detection.

This repository contains deep learning-based articles, papers, and repositories for recommendation systems.

A Python library for fine-tuning the ChatGLM language model for downstream tasks using techniques like Freeze, LoRA, and P-tuning.

A curated list of neural network pruning resources for developers interested in model acceleration and compression.

A PyTorch implementation of a Convolutional Recurrent Network for scene text recognition.

SDK for interacting with the Stability.AI APIs, including Stable Diffusion inference.

A comprehensive course on accelerated natural language processing using AWS cloud services and tools.

Tutorials and demos for building autonomous driving systems using Microsoft's AirSim simulation platform.

A library of NLP algorithms and utilities for text classification, generation, extraction, and more using the Transformers library.

A curated list of AutoDL resources and an in-depth analysis for developers interested in automated deep learning and neural architecture search.

Tracery is a JavaScript library for generating stories and text using grammars.

A Python library for graph deep learning research, focused on 3D graphs, explainable ML, and self-supervised learning.

A PyTorch toolbox for advanced face recognition tasks like masked face recognition and fairness evaluation.

A lightweight Android library for offline detection of NSFW (Not Safe For Work) images using TensorFlow

CogDL is a comprehensive library for graph deep learning, providing state-of-the-art models and utilities for graph-based tasks.

Provides developer APIs to accelerate LLM projects, including wrappers, frameworks, and tools.

A PyTorch implementation of various Knowledge Distillation (KD) methods for model compression and transfer learning.

fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.

Nx-powered Neural Networks library for building deep learning models in Elixir

A Python library that generates pixel art from images, useful for vibe coders building creative AI tools.

A TypeScript library for fetching and saving entire websites as text files for use with AI models.

A framework for Privacy Preserving Machine Learning in Python.

A Python library for controllable garment-driven image synthesis, enabling virtual try-on and clothing generation.

A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.

This is a Python library for learning the principles of machine learning.

A repository with exercises for the Deep Learning textbook, focused on machine learning and AI.