All Categories â†’ Machine Learning → neural-networks

Top 622 neural-networks open source projects

Deepjazz
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
Keras Sharp
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Speechbrain.github.io
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.
Da Rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Ntm One Shot Tf
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Inferno
A utility library around PyTorch
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, ... 🧠
Echotorch
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.
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Mydatascienceportfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
Gam
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Adatune
Gradient based Hyperparameter Tuning library in PyTorch
Keras Gp
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.
Tcdf
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Neuralnetworksanddeeplearning.com.pdf
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
Rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
18s096sciml
18.S096 - Applications of Scientific Machine Learning
Mahjongai
Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)
Handtrack.js
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
Unsupervisedscalablerepresentationlearningtimeseries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Pine
🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Biggan Pytorch
The author's officially unofficial PyTorch BigGAN implementation.
Radio
RadIO is a library for data science research of computed tomography imaging
Seismic Deeplearning
Deep Learning for Seismic Imaging and Interpretation
Freezeout
Accelerate Neural Net Training by Progressively Freezing Layers
Vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Dm control
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
Neural Localization
Train an RL agent to localize actively (PyTorch)
Deep Learning Notes
My personal notes, presentations, and notebooks on everything Deep Learning.
Mem absa
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Neurolib
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬
Source Separation Wavenet
A neural network for end-to-end music source separation
Neural Cryptography Tensorflow
Neural Networks that invent their own encryption 🔑
Kekas
Just another DL library
Sota Cv
A repository of state-of-the-art deep learning methods in computer vision
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