Stars
High-Resolution Image Synthesis with Latent Diffusion Models
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Computer algebra package for quantum mechanics and photonic quantum networks
Baseline implementation of deep learning semantic segmentation models.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable]
What if we use hf hub to do versioning of a model?
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
My notes for Udacity's Data Engineering Nanodegree.
An educational project teaching how to open-source an interactive Python quiz app
Realtime pose estimation of humans
Pose estimation using TensorFlow Lite. 🚶🏻♂️
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
pytorch implementation of openpose including Hand and Body Pose Estimation.
A general framework for video prediction in PyTorch.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A PyTorch toolkit for 2D Human Pose Estimation.
predict bus arrival time using VertexAI and Nvidia's Jetson Nano. Find full article here
Code release for NeRF (Neural Radiance Fields)
Toolkit for the BOP benchmark, including evaluation scripts and utilities for 6D object pose estimation and related tasks.
Use images of the YCB Video Dataset to train a Mask RCNN model
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Library for 8-bit optimizers and quantization routines.