A standard framework for modelling Deep Learning Models for tabular data

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution

[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)

Text to Image Latent Diffusion using a Transformer core

Extract Satellite Imagery from public constellations at scale

Call python from fortran

End-to-End Object Detection with Transformers

Fence GAN: Towards Better Anomaly Detection

PyTorch Implementations for DeeplabV3 and PSPNet

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

PyTorch implementation of Convolutional Recurrent Neural Network

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Detection and Tracking of Tropical Cyclones

Collection of generative models in Pytorch version.

Latex code for making neural networks diagrams

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

Progressive Growing of GANs for Improved Quality, Stability, and Variation

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> …

Keras code and weights files for popular deep learning models.

Regularized kernel canonical correlation analysis in Python

Deep Learning Tutorials for 10 Weeks

The "Python Machine Learning (1st edition)" book code repository and info resource

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

Multi-GPU mini-framework for Theano

Deep learning pipeline for orbital satellite data for detecting clouds