Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
WordgcnACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Gluon ApiA clear, concise, simple yet powerful and efficient API for deep learning.
NumpydlDeep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
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.
Easy YoloYolo (Real time object detection) model training tutorial with deep learning neural networks
The Incredible PytorchThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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
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.
KurDescriptive Deep Learning
Ufldl tutorialStanford Unsupervised Feature Learning and Deep Learning Tutorial
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/
AdaptnlpAn easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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.
Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
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.
RACLABNo description or website provided.
cressetTemplate repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.