987 Open source projects that are alternatives of or similar to Mk Tfjs

Notes for Deep Learning Specialization Courses led by Andrew Ng.

ANNdotNET - deep learning tool on .NET Platform.

The repository provides usefull python scripts for ML and data analysis

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Feature Store for Machine Learning

The Places365-CNNs for Scene Classification

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Gaussian processes in TensorFlow

基于CNN的验证码整体识别

Deep Learning For Computer Vision With Python

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Open Toolkit for Painless Object Detection

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

My CS231n lecture notes

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

🤖️image regression (base on convnetjs)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Awesome Resources for Advanced Computer Vision Topics

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

Приёмы в машинном обучении

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

Sarcasm detection on tweets using neural network

Improving Generalization via Scalable Neighborhood Component Analysis

cnn pruning with tensorflow.

[CVPR 2020] Reimplementation of RetinaFace, faster and stronger.

Functional programming inspired by ML for the Erlang VM

[REPO] Music Genre classification on GTZAN dataset using CNNs

Automatic detection of plant diseases

Open standard for machine learning interoperability

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

PyTorch implementation of SIFT descriptor

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Cleaned version of the Nottingham dataset

Curated list: Resources for machine learning in Ruby

Collection of popular and reproducible image denoising works.

Simpler app for tensorflow object detection API

Lightwood is Legos for Machine Learning.

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

PyTorch implementation of LeNet-5 with live visualization

Deep learning applied to georeferenced datasets

Applying NLP transfer learning techniques to predict Tweet stance

一些关于机器学习的学习资料与研究介绍

Almost any Image classification problem using pytorch

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

fklearn: Functional Machine Learning

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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.

Official Implementation of 'Fast AutoAugment' in PyTorch.

CNN, LSTM, NBOW, fasttext 中文文本分类

用 Tensorflow.js 猜猜我的女朋友在想什么. A Tensorflow.js application for facial classification.

The MacGraph network. An attempt to get MACnets running on graph knowledge

CNN for intent classification task in a Chatbot

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

A C++ standalone library for machine learning

基于深度学习识别12306验证码

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF