Trending Projects

A PyTorch implementation of VALL-E, a zero-shot text-to-speech model for vibe coders.

Cambrian-1 is a multimodal LLM with a vision-centric design for building AI-powered chatbots and applications.

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym.

A command-line tool to search and download full transcripts of YouTube videos for semantic search and analysis.

Flexible and AI-assisted Node.js crawler library for building web scrapers and crawlers.

ROS package for LiDAR-Camera Calibration using 3D-3D Point correspondences

A Python library for channel and layer pruning of YOLOv3 and YOLOv4 models, with support for knowledge distillation.

Realtime head pose estimation using ONNX and OpenCV for computer vision and AI applications.

A curated list of resources related to person re-identification, a computer vision task to identify people across different cameras or scenarios.

A collection of natural language processing (NLP) research papers with code implementations in TensorFlow and PyTorch.

The official implementation of Self-Play Fine-Tuning (SPIN), a deep learning technique for fine-tuning large language models.

A higher-level neural network library for microcontrollers and embedded systems.

Samples for Intel's oneAPI Toolkits, supporting a wide range of AI, HPC, and parallel computing use cases.

An official PyTorch implementation of a deep learning model for human pose estimation

Python implementation of the machine learning techniques from the ISLR textbook.

Official implementation of a paper on multimodal chain-of-thought reasoning in language models.

A curated collection of papers and resources about transformer models for computer vision applications.

A high-performance distributed training framework for Reinforcement Learning in Python

A PyTorch library for counting the number of floating-point operations (FLOPs) in neural networks.

A Python library for meta-learning that enables fast adaptation of deep neural networks.

A powerful multi-modal large language model family for building advanced AI chatbots and visual recognition models.

A high-performance C++ library for upscaling anime videos using AI-powered super-resolution techniques.

uTensor is a TinyML AI inference library for microcontrollers and edge devices, enabling embedded AI applications.

A repository of 60 useful data science prompts for ChatGPT to help developers build with AI tools.

Implementation of an alternative to backpropagation for training neural networks using PyTorch.

An expanded version of the Espressif ESP32-CAM webcam with support for AI-powered features like face recognition.

A TensorFlow implementation of the Diffusion Convolutional Recurrent Neural Network for spatiotemporal forecasting.

Obsei is a low-code AI-powered automation tool for various business flows like social listening, alerting, and analysis.

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 framework for encrypted machine learning in TensorFlow, enabling confidential computing and privacy-preserving AI.

A Python library for fine-tuning and evaluating large language models with visual prompts.

A Python library serving multiple LoRA finetuned large language models (LLMs) as one.

A Python-based framework for building large language models for computer vision tasks.

A curated list of research papers on visual grounding, a key technique for multimodal AI.

A generic C# GOAP (Goal Oriented Action Planning) library with Unity3d examples for game developers.

A comprehensive library for sentiment analysis, text classification, and text adversarial defense, tailored for AI-powered developers.

A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.

A Chinese version of the GPT-2 language model training code, using the BERT tokenizer.

A Python library for real-time face detection and emotion/gender classification using deep learning and OpenCV.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.

An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.

A library for creating transparent image layers using diffusion-based techniques.

The Virtual Feature Store that turns existing data infrastructure into a feature store for machine learning.

NeuS is a Python library for neural surface reconstruction, a key component in 3D computer vision.

A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query, built with Rust and supporting multiple languages.

Tools for building GPU clusters for machine learning and AI workloads

CMA-ES is a Python implementation of the Covariance Matrix Adaptation Evolution Strategy, a powerful optimization algorithm.

A curated list of the best code-LLM tools for AI-powered code generation and research.