307 Open source projects that are alternatives of or similar to resnet.torch

Predict the genre of a song using the Torch deep learning library

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

[Android Library] Handling device flash as torch for Android.

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

Image classification of Fungus using ResNet

TrackNet for badminton tracking using tensorflow2

No description or website provided.

Nim bindings to libtorch

TensorFlow implementation of DeepMask and SharpMask

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

一种运用resnet进行车型识别的方法，

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

QAT(quantize aware training) for classification with MQBench

用python做计算机视觉，人工智能，机器学习，深度学习等

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

❓ Attention-based Visual Question Answering in Torch

Raster-to-Vector: Revisiting Floorplan Transformation

Caffe Wide-Residual-Network (WRN) Generator

Spatio-Temporal Action Localization System

Torch implementation of Fischer et al. FlowNet training code

PyTorch dataset extended with map, cache etc. (tensorflow.data like)

benchmarking miopen

R Interface to Torch

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

Oriented Response Networks, in CVPR 2017

De novo protein structure prediction using iteratively predicted structural constraints

PyTorch implementation of beam search decoding for seq2seq models

CBAM implementation on TensorFlow Slim

Deserialize Lua torch-serialized objects from Python

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

Feedforward neural doodle

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Towards Neural Phrase-based Machine Translation

Crack number and Chinese captcha with both traditional and deep learning methods, based on Torch and python.

DCT (discrete cosine transform) functions for pytorch

Unofficial Pytorch implementation of Deep Compression in CIFAR10

Deep Learning Dockerfiles

Simple hand classifier by Pytorch and ResNet

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

deep-learning platforms,framework,data（深度学习平台、框架、资料）

Deep-Learning based CTR models implemented by PyTorch

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, FaceViT.

Torch implementation for audio neural style.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

DeepNude Command Line Version With Watermark Removed

Jetson Nano image with deep learning frameworks

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

PyTorch tutorial for learners

Internet-scale Neural Networks

记录每一个常用的深度模型结构的特点（图和代码）

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

No description or website provided.

An implementation of the LRCN in Torch

Train PyTorch Models using the Genetic Algorithm with PyGAD

Data structures, algorithms, and ML/NLP tools in Lua.

Reversing GAN image generation for similarity search and error/artifact fixing