An Open Source Machine Learning Framework for Everyone
Open Source Computer Vision Library
Deep Learning for humans
📝 An awesome Data Science repository to learn and apply for real world problems.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Pytorch Ddpg Naf
Implementation of algorithms for continuous control (DDPG and NAF).
An intelligent block matrix library for numpy, PyTorch, and beyond.
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
ModaNet: A large-scale street fashion dataset with polygon annotations
a framework for training sequence-level deep learning networks
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
Change Detection Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Deep learning driven jazz generation using Keras & Theano!
A tensorflow implementation of EAST text detector
Data loaders and abstractions for text and NLP
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep learning with text doesn't have to be scary.
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Streaming over lightweight data transformations
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
Medical image registration using deep learning
A PyTorch library and evaluation platform for end-to-end compression research
ResNeSt: Split-Attention Networks
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Computer Vision Guide
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
Experimental tensor-typed deep learning
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
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
A modern deep learning framework built to accelerate research and development of AI systems