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.

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Kerasdeepspeech

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

✭ 245

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Da Rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

✭ 242

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Igel

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

✭ 238

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Inferno

A utility library around PyTorch

✭ 237

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Deepposekit

a toolkit for pose estimation using deep learning

✭ 233

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Stock Price Prediction Lstm

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

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🧑‍🏫 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, ... 🧠

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Jupyter Notebook python deep-learning pytorch reinforcement-learning neural-networks gan deep-learning-tutorial machine-learning transformers transformer optimizers

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.

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Neural Network From Scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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Color Accessibility Neural Network Deeplearnjs

🍃 Using a Neural Network to improve web accessibility in JavaScript.

✭ 230

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Mydatascienceportfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

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Gam

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

✭ 227

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Adatune

Gradient based Hyperparameter Tuning library in PyTorch

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Machine Learning Notebooks

Machine Learning notebooks for refreshing concepts.

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Dilated Cnn Ner

Dilated CNNs for NER in TensorFlow

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Keras Gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

✭ 218

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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.

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Tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

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Neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

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Rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

✭ 216

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18s096sciml

18.S096 - Applications of Scientific Machine Learning

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Tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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Kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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Bayesiandeeplearning Survey

Bayesian Deep Learning: A Survey

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Mahjongai

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

✭ 210

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Handtrack.js

A library for prototyping realtime hand detection (bounding box), directly in the browser.

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Hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

✭ 2,704

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Gluon Api

A clear, concise, simple yet powerful and efficient API for deep learning.

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Unsupervisedscalablerepresentationlearningtimeseries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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jupyter-notebook deep-learning machine-learning pytorch neural-networks time-series

Pine

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

✭ 202

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Biggan Pytorch

The author's officially unofficial PyTorch BigGAN implementation.

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Radio

RadIO is a library for data science research of computed tomography imaging

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Seismic Deeplearning

Deep Learning for Seismic Imaging and Interpretation

✭ 198

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Neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

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Freezeout

Accelerate Neural Net Training by Progressively Freezing Layers

✭ 196

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Deep Learning With Python

Deep learning codes and projects using Python

✭ 195

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Vectorai

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

✭ 195

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Dm control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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python Jupyter Notebook deep-learning machine-learning artificial-intelligence reinforcement-learning neural-networks physics-simulation 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

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Neural Localization

Train an RL agent to localize actively (PyTorch)

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Automatic Speech Recognition

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

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Deep Learning Notes

My personal notes, presentations, and notebooks on everything Deep Learning.