Tensorflow Course📡 Simple and ready-to-use tutorials for TensorFlow
Stars: ✭ 15,931 (+10112.18%)
KalasalingamIEEE "Invited Talk on Deep Learning" 03/02/2018
Stars: ✭ 13 (-91.67%)
Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
Stars: ✭ 266 (+70.51%)
nlp-notebooksA collection of natural language processing notebooks.
Stars: ✭ 19 (-87.82%)
Ufldl tutorialStanford Unsupervised Feature Learning and Deep Learning Tutorial
Stars: ✭ 689 (+341.67%)
Tensorflow-MLDifferent machine learning algorithms implementation in Tensorflow
Stars: ✭ 26 (-83.33%)
The Incredible PytorchThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Stars: ✭ 8,584 (+5402.56%)
Pytorch Neural Style TransferReconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
Stars: ✭ 106 (-32.05%)
AdaptnlpAn easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Stars: ✭ 278 (+78.21%)
RACLABNo description or website provided.
Stars: ✭ 33 (-78.85%)
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Stars: ✭ 118 (-24.36%)
nettutorialDeep learning tutorial
Stars: ✭ 27 (-82.69%)
KurDescriptive Deep Learning
Stars: ✭ 811 (+419.87%)
Machine Learning AlgorithmsA curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Stars: ✭ 92 (-41.03%)
Stock Analysis EngineBacktest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stars: ✭ 605 (+287.82%)
Practical Deep Learning BookOfficial code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Stars: ✭ 441 (+182.69%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-89.1%)
TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
Stars: ✭ 399 (+155.77%)
DeeplearningThis repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes
Stars: ✭ 49 (-68.59%)
Awesome Deep LearningA curated list of awesome Deep Learning tutorials, projects and communities.
Stars: ✭ 18,071 (+11483.97%)
Python autocompleteUse Transformers and LSTMs to learn Python source code
Stars: ✭ 123 (-21.15%)
Deep Tutorials For PytorchIn-depth tutorials for implementing deep learning models on your own with PyTorch.
Stars: ✭ 971 (+522.44%)
Pytorch GansMy implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Stars: ✭ 271 (+73.72%)
Openvino Custom LayersTutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
Stars: ✭ 101 (-35.26%)
Deeplearning.ai NotesThese are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Stars: ✭ 262 (+67.95%)
cressetTemplate repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Stars: ✭ 573 (+267.31%)
Alexnet with tensorflowan implement of AlexNet with tensorflow, which has a detailed explanation.
Stars: ✭ 139 (-10.9%)
pytorch-neural-style-transfer-johnsonReconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
Stars: ✭ 85 (-45.51%)
Ilearndeeplearning.pyThis repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Stars: ✭ 896 (+474.36%)
NeoDeep learning library in python from scratch
Stars: ✭ 36 (-76.92%)
Easy YoloYolo (Real time object detection) model training tutorial with deep learning neural networks
Stars: ✭ 98 (-37.18%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-80.13%)
tutorialsIntroduction to Deep Learning: Chainer Tutorials
Stars: ✭ 68 (-56.41%)
NumpyDLDeep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Stars: ✭ 206 (+32.05%)
Deeplearning.aideeplearning.ai , By Andrew Ng, All video link
Stars: ✭ 625 (+300.64%)
pytorch-deepdreamPyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
Stars: ✭ 293 (+87.82%)
AndroidtensorflowmnistexampleAndroid TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Stars: ✭ 449 (+187.82%)