1875 Open source projects that are alternatives of or similar to Model Quantization

Classification with PyTorch.

PS / Bash / Python / Other scripts For FUN!

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

PyTorch Connectomics: segmentation toolbox for EM connectomics

R wrapper for fastText

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

PyTorch tutorial for learners

Unsupervised instance segmentation via active robot interaction

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Patch-based 3D U-Net for brain tumor segmentation

Cortex M KWS example with Tengine Lite.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Matchable Image Retrieval by Learning from Surface Reconstruction

An Android tool to compresses your GIFs into lightweight MP4 video using fast, hardware-accelerated encoders. Supports cropping, rotation, GIF concatenation and much more.

A sophisticated smart symptom search engine

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

PCN based on ncnn framework.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

[Deprecated] 🇨🇳中国二代身份证光学识别

DLTK Model Zoo

Simulate quantization and quantization aware training for MXNet-Gluon models.

🗜 Brotli wasm module for deno

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

simple rules engine

End to End Dialect Identification using Convolutional Neural Network

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

keras를 이용한 딥러닝 기초 학습

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

meta project to build libraries from the brotli source code

An open source framework for deep learning on satellite and aerial imagery.

A system to patch your content files.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

DeeplabV2 segmentation in Keras.

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

a python implementation of MC-CNN

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Try to use tf.estimator and tf.data together to train a cnn model.

Yet another neural network library

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Slicer extensions index

C++ implementation pool for computer vision R&D projects.

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Javascript Natural Language Classifier

FaceBoxes for hand detection in PyTorch

Automatically create YARA rules from malicious documents.

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

FreeArc'Next

[ICLR'19] Meta-learning with differentiable closed-form solvers

This project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.

MLBox is a powerful Automated Machine Learning python library.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks