Stars
📚LeetCUDA: 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA.
Ongoing research training transformer models at scale
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
TensorFlow Neural Machine Translation Tutorial
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing
GPU accelerated pre-filtered cubic b-spline interpolation using CUDA
Deformable Style Transfer (ECCV 2020)
StarGAN v2 - Official Tensorflow Implementation (CVPR 2020)
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
GEMM and Winograd based convolutions using CUTLASS
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Visualizer for neural network, deep learning and machine learning models
Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
This repository contains the source code for the paper First Order Motion Model for Image Animation
a language for fast, portable data-parallel computation
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Simple Tensorflow implementation of StarGAN_v2
Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…
pbaylies / stylegan-encoder
Forked from Puzer/stylegan-encoderStyleGAN Encoder - converts real images to latent space
StyleGAN 2 in Tensorflow 2.0