Name: Fitsum Reda
Type: User
Company: NVIDIA Research
Bio: I'm a principal research scientist at NVIDIA Research. I work on deep generative AI for image and video content creation.
Twitter: fitsumreda
Location: Santa Clara, CA
Blog: https://fitsumreda.github.io
Fitsum Reda's Projects
The most cited deep learning papers
A curated list of deep learning resources for computer vision
A curated list of awesome neural radiance fields papers
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Apache Beam is a unified programming model for Batch and Streaming data processing.
CNNGeometric PyTorch implementation
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Deep Learning Examples
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
Code for Folded Recurrent Neural Networks
Synthesizing and manipulating 2048x1024 images with conditional GANs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
Start here
Nvidia Semantic Segmentation monorepo
Unsupervised Language Modeling at scale for robust sentiment classification
Tensorflow port of the Stable Diffusion Model
PyTorch implementation of Super SloMo by Jiang et al.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.