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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
A generative world for general-purpose robotics & embodied AI learning.
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Deep Convolutional Generative Adversarial Networks
Python library for loading and using triangular meshes.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
An XCode project template to build universal frameworks (arm7, arm7s, and simulator) for iOS / iPhone.
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
Images to inference with no labeling (use foundation models to train supervised models).
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
General code to convert a trained keras model into an inference tensorflow model
A thin, practical wrapper around terminal capabilities in Python
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
A terminal assistant for the hopelessly confused
Real-Time Object Recognition App with Tensorflow and OpenCV
VGGFace implementation with Keras Framework
🤖 A PyTorch library of curated Transformer models and their composable components
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"