ricardodeazambuja
Follow
DeepLearning
Providing reproducibility in deep learning frameworks
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments
Stable Diffusion in TensorFlow / Keras
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.
A technical report on convolution arithmetic in the context of deep learning
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Datasets, Transforms and Models specific to Computer Vision
🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses
MB-Lab is a character creation tool for Blender 4.0 and above, based off ManuelBastioniLAB
Development repository for the Triton language and compiler
Flops counter for convolutional networks in pytorch framework
High-Resolution Image Synthesis with Latent Diffusion Models
Geometric Computer Vision Library for Spatial AI
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Machine Learning Toolkit for Kubernetes
🕶 A curated list of Tiny Object Detection papers and related resources.
Point based and tiny object detection and localization code set of UCAS-VG
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.