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Finegrain.ai
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Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Supercharge Your LLM Application Evaluations 🚀
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Large Action Model framework to develop AI Web Agents
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Deep Convolutional Generative Adversarial Networks
A general fine-tuning kit geared toward diffusion models.
📊 The statistical analysis tool for git repositories
This library provides common speech features for ASR including MFCCs and filterbank energies.
A simple interface for editing natural photos with generative neural networks.
OpenMMLab Foundational Library for Training Deep Learning Models
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
TransNet V2: Shot Boundary Detection Neural Network
[CVPR 2024] X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
irresponsible innovation. Try now at https://chat.dev/
Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"
Multi-view Aggregation Network for Dichotomous Image Segmentation (CVPR24, Highlight)
[CVPR 2025] Official implementation of the paper "SmartEraser: Remove Anything from Images using Masked-Region Guidance".
PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.
🎠 MagicPony: Learning Articulated 3D Animals in the Wild (CVPR 2023)