301.cvg / Hierarchical-Localization
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval
- structure-from-motion
- pose-estimation
- +1 more
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301–400 of 1,143 by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
Visual localization made easy with hloc
Hierarchical Reasoning Model Official Release
NSFW detection on the client-side via TensorFlow.js
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Instant neural graphics primitives: lightning fast NeRF and more
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Foundational Models for State-of-the-Art Speech and Text Translation
High-Resolution Image Synthesis with Latent Diffusion Models
Translated[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. An open-source multimodal dialogue model with performance close to GPT-4o
Flax is a neural network library for JAX that is designed for flexibility.
Janus-Series: Unified Multimodal Understanding and Generation Models
Scalable and user friendly neural :brain: forecasting algorithms.
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Copy any text on your screen, stop retyping.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Open source annotation tool for machine learning practitioners.
OpenMMLab's next-generation platform for general 3D object detection.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
The UI SDK and agent-ready developer toolkit for AI factories, robotics, and autonomous vehicles.
NVIDIA cuML: GPU-Accelerated Machine Learning
A library for debugging/inspecting machine learning classifiers and explaining their predictions
BirdNET analyzer for scientific audio data processing.
A fast, local neural text to speech system
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Upload a photo of your room to generate your dream room with AI.
Fit interpretable models. Explain blackbox machine learning.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
GoMLX: An Accelerated Machine Learning Framework For Go
Repository for OpenCV's extra modules
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
The repository host gives no description.
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
An open-source read-along document reader server with high-quality TTS options, synchronized highlighting, and audiobook export for EPUB, PDF, DOCX, TXT, and MD.
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
kaldi-asr/kaldi is the official location of the Kaldi project.
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Playing Pokemon Red with Reinforcement Learning
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Low-code framework for building custom LLMs, neural networks, and other AI models
Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Code and documentation to train Stanford's Alpaca models, and generate the data.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Implementation of Nougat Neural Optical Understanding for Academic Documents
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
DeepFaceLab is the leading software for creating deepfakes.
A toolkit for making real world machine learning and data analysis applications in C++
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
An open source library for face detection in images. The face detection speed can reach 1000FPS.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
3D Computer Vision Framework
Module for statistical learning, with a particular emphasis on time-dependent modelling
Official Code for DragGAN (SIGGRAPH 2023)
Topic Modelling for Humans
Hackable and optimized Transformers building blocks, supporting a composable construction.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Go AI SDK, the Go way. One unified API across 21+ providers. Streaming, structured output, MCP support, stdlib only. Go AI SDK for AI applications inspired by Vercel AI SDK.
Caffe: a fast open framework for deep learning.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A toolkit for developing and comparing reinforcement learning algorithms.
A multi-voice TTS system trained with an emphasis on quality
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Code for the paper "Language Models are Unsupervised Multitask Learners"
A WebGL accelerated JavaScript library for training and deploying ML models.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Stable Diffusion with Core ML on Apple Silicon
Build and run Docker containers leveraging NVIDIA GPUs
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Brian is a free, open source simulator for spiking neural networks.
Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks
A library of reinforcement learning components and agents
A collection of environments for autonomous driving and tactical decision-making tasks
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
README file generator, powered by AI.
Biological foundation modeling from molecular to genome scale
Dataflow compiler for QNN inference on FPGAs
TensorFlow code and pre-trained models for BERT