Deep Learning for humans
Deep learning driven jazz generation using Keras & Theano!
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
a delightful machine learning tool that allows you to train, test, and use models without writing code
Ntm One Shot Tf
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
A utility library around PyTorch
a toolkit for pose estimation using deep learning
🧑🏫 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, ... 🧠
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Gradient based Hyperparameter Tuning library in PyTorch
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Pixel level land classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
End-to-end training of sparse deep neural networks with little-to-no performance loss.
18.S096 - Applications of Scientific Machine Learning
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
A PyTorch Library for Accelerating 3D Deep Learning Research
Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Hummingbird compiles trained ML models into tensor computation for faster inference.
A clear, concise, simple yet powerful and efficient API for deep learning.
🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
The author's officially unofficial PyTorch BigGAN implementation.
RadIO is a library for data science research of computed tomography imaging
✨Fast Coreference Resolution in spaCy with Neural Networks
Accelerate Neural Net Training by Progressively Freezing Layers
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Coursera Deep Learning Specialization
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
Deep Learning Notes
My personal notes, presentations, and notebooks on everything Deep Learning.
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
A High-Quality Real Time Upscaler for Anime Video
A cleaner way to build neural networks for PyTorch.
Just another DL library
Brain Modeling Toolkit
A repository of state-of-the-art deep learning methods in computer vision