338 Open source projects that are alternatives of or similar to My Very Deep Caffe

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

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Evaluation of the CNN design choices performance on ImageNet-2012.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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load caffe prototxt and weights directly in pytorch

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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

Keras version of Realtime Multi-Person Pose Estimation project

Generate a quantization parameter file for ncnn framework int8 inference

🎨 Artistic neural style transfer with tweaks (pytorch).

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Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

Multi-object trackers in Python

A deep learning model for style-specific music generation.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

This is a fast caffe implementation of ShuffleNet.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

A real-time object detection framework of Yolov3/v4 based on caffe

faster-rcnn c++ python model

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

A REST API for Caffe using Docker and Go

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Go package for computer vision using OpenCV 4 and beyond.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

This repo is implemented based on detectron2 and centernet

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

A curated list of amazingly awesome Cybersecurity datasets

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

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Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

convert model from mxnet to caffe without lossing precision

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

collection of utilities to use with deep learning libraries (e.g. caffe)

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Porting caffe to android platform