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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
OpenMMLab Pose Estimation Toolbox and Benchmark.
Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
Official code base of the BEVDet series .
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
A simple baseline for 3d human pose estimation in PyTorch.
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
Real-time 3D human pose estimation, implemented by tensorflow
[ICLR'22] A Unified Architecture for Predicting Multiple Agent Trajectories
A demo of image classification with PyTorch DDP (DistributedDataParallel) and AMP (Automatic Mixed Precision) modules.
This is the code for the paper "Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang and Tao Mei: TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain …