Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Implementation of the deepmind Flamingo vision-language model, based on Hugging Face language models and ready for training
stable diffusion webui colab
Open Source Graph Neural Net Based Pipeline for Image Matching
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Finds the minimum bounding box from a point cloud.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation
Jekyll Template - Mediumish
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
This is the code for "Unity AI" by Siraj Raval on Youtube
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
torch-optimizer -- collection of optimizers for Pytorch
Kaggle RPS Competition 4th Place Solution
Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
37th place solution for the 2020-2021 Kaggle competition "Rock, Paper, Scissors"
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Pytorch implementation of Center Loss
Solution to Kaggle's Google Research Football Competition