Pinned Repositories
anttweakbar
Clone of http://git.code.sf.net/p/anttweakbar/code since it isn't maintained any more
node-glfw
nodejs bindings to GLFW
node-image
A quick Node.JS wrapper around FreeImage
node-native-graphics-deps
Precompiled libraries used in node-glfw, node-webgl, node-webcl
node-opencl
Low-level OpenCL 1.x and 2.x bindgings for node.js
node-rivertrail
River Trail
node-sfml
nodejs bindings to SFML
node-webcl
node-webgl
WebGL bindings to desktop OpenGL
nodejs-android
Node.js Android NDK port.
mikeseven's Repositories
mikeseven/node-webgl
WebGL bindings to desktop OpenGL
mikeseven/node-opencl
Low-level OpenCL 1.x and 2.x bindgings for node.js
mikeseven/EDVR
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
mikeseven/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
mikeseven/bmdtools
Basic capture and play programs for Blackmagic Design Decklink
mikeseven/clDNN
Compute Library for Deep Neural Networks (clDNN)
mikeseven/DBPN-Pytorch
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
mikeseven/dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
mikeseven/deep-image-prior
Image restoration with neural networks but without learning.
mikeseven/docker-squid
Dockerfile to create a Docker container image for Squid proxy server
mikeseven/EOD
Easy and Efficient Object Detector
mikeseven/glow
Compiler for Neural Network hardware accelerators
mikeseven/liblqr
Liquid Rescale library
mikeseven/mct_quantizers
mikeseven/model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
mikeseven/MQBench
Model Quantization Benchmark
mikeseven/mqbench-paper
mikeseven/node_exporter
Exporter for machine metrics
mikeseven/obs-studio
OBS - Free and open source software for live streaming and screen recording
mikeseven/ogl-samples
The OpenGL Samples Pack
mikeseven/onnx
Open standard for machine learning interoperability
mikeseven/onnx2pytorch
Transform ONNX model to PyTorch representation
mikeseven/Paddle
PArallel Distributed Deep LEarning
mikeseven/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mikeseven/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
mikeseven/tiramisu
A polyhedral compiler for expressing fast and portable data parallel algorithms
mikeseven/toflow
TOFlow: Video Enhancement with Task-Oriented Flow
mikeseven/tutorial
A self-contained version of the tutorial which can be easily cloned and viewed by others.
mikeseven/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
mikeseven/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.