7389 Open source projects that are alternatives of or similar to Teacher Student Training

CNN image classifier implemented in Keras Notebook 🖼️.

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This toolbox is support material for the book on CNN (http://www.convolution.network).

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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Computations and statistics on manifolds with geometric structures.

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Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Code, exercises and tutorials of my personal blog ! 📝

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

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TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Keras version of Realtime Multi-Person Pose Estimation project

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Support content for my blog

Next RecSys Library

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SincNet is a neural architecture for efficiently processing raw audio samples.

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Deep Learning Specialization by Andrew Ng on Coursera.

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Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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repo with challenge material for riceteacatpanda (2020)

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

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.

Daily Dose of Neural Network that Everyone Needs