awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.
https://github.com/ChristosChristofidis/awesome-deep-learning

Last synced: 4 days ago
JSON representation

Researchers
- Frameworks
- Miscellaneous
  - Caffe Webinar
  - 100 Best Github Resources in Github for DL
  - Caffe DockerFile
  - Torch7 Cheat sheet
  - Misc from MIT's 'Machine Learning' course
  - Misc from MIT's 'Networks for Learning: Regression and Classification' course
  - Misc from MIT's 'Neural Coding and Perception of Sound' course
  - An efficient, batched LSTM.
  - Emotion Recognition API Demo - Microsoft
  - YOLO: Real-Time Object Detection
  - AlphaGo - A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search"
  - Machine Learning is Fun!
  - The Unreasonable Effectiveness of Recurrent Neural Networks - Andrej Karpathy blog post about using RNN for generating text.
  - toolbox: Curated list of ML libraries
  - YOLO: Practical Implementation using Python
  - 100 Best Github Resources in Github for DL
  - TorontoDeepLEarning convnet
  - gfx.js
  - A chess AI that learns to play chess using deep learning.
  - Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
  - Wiki2Vec. Getting Word2vec vectors for entities and word from Wikipedia Dumps
  - The original code from the DeepMind article + tweaks
  - Google deepdream - Neural Network art
  - Memory Networks Implementations - Facebook
  - Face recognition with Google's FaceNet deep neural network.
  - Basic digit recognition neural network
  - Proof of concept for loading Caffe models in TensorFlow
  - Machine Learning for Software Engineers
  - Dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container.
  - Awesome Deep Learning Music - Curated list of articles related to deep learning scientific research applied to music
  - Awesome Graph Embedding - Curated list of articles related to deep learning scientific research on graph structured data at the graph level.
  - Awesome Network Embedding - Curated list of articles related to deep learning scientific research on graph structured data at the node level.
  - Ladder Network - Keras Implementation of Ladder Network for Semi-Supervised Learning
  - CNN Explainer
  - AI Expert Roadmap - Roadmap to becoming an Artificial Intelligence Expert
  - Word2Vec
  - Implementing a Distributed Deep Learning Network over Spark
  - Microsoft Recommenders - of-the-art algorithms are provided for self-study and customization in your own applications.
  - Misc from MIT's 'Advanced Natural Language Processing' course
  - A recurrent neural network designed to generate classical music.
  - YOLO: Real-Time Object Detection
- Tools
  - Visual Studio Tools for AI - Develop, debug and deploy deep learning and AI solutions
  - Neptune - Lightweight tool for experiment tracking and results visualization.
  - DAGsHub - Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily.
  - DVC - DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
  - CML - CML helps you bring your favorite DevOps tools to machine learning.
  - MLEM - MLEM is a tool to easily package, deploy and serve Machine Learning models. It seamlessly supports a variety of scenarios like real-time serving and batch processing.
  - Netron - Visualizer for deep learning and machine learning models
  - Nebullvm - Easy-to-use library to boost deep learning inference leveraging multiple deep learning compilers.
  - TensorBoard - TensorFlow's Visualization Toolkit
  - TensorWatch - Debugging and visualization for deep learning
  - ML Workspace - All-in-one web-based IDE for machine learning and data science.
  - dowel - A little logger for machine learning research. Log any object to the console, CSVs, TensorBoard, text log files, and more with just one call to `logger.log()`
  - Determined - Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.
  - hub - Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into single numpy-like array on the cloud, accessible on any machine.
  - CatalyzeX - Browser extension ([Chrome](https://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil) and [Firefox](https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/)) that automatically finds and links to code implementations for ML papers anywhere online: Google, Twitter, Arxiv, Scholar, etc.
  - Maxim AI - Tool for AI Agent Simulation, Evaluation & Observability.
- Tutorials

Programming Languages

Python 31 Jupyter Notebook 9 JavaScript 7 C++ 5 Lua 3 Cuda 2 Java 2 HTML 2 TeX 2 Objective-C 1

Categories

Researchers 534 Table of Contents 255 License 2

Sub Categories

Tutorials 232 Datasets 146 Papers 82 Frameworks 71 Websites 55 Videos and Lectures 54 Courses 52 Miscellaneous 41 Books 24 Tools 16 Conferences 14 Contributing 4

Keywords

deep-learning 34 machine-learning 32 python 16 tensorflow 10 neural-network 10 computer-vision 8 pytorch 8 data-science 7 neural-networks 7 artificial-intelligence 5 reinforcement-learning 5 ai 5 object-detection 4 deep-neural-networks 4 deeplearning 4 numpy 3 ml 3 distributed 3 gpu 3 scikit-learn 3 framework 3 data-analysis 2 jupyter 2 hyperparameter-tuning 2 java 2 mlops 2 network-embedding 2 jupyter-notebook 2 distributed-computing 2 reproducibility 2 face-recognition 2 monitoring 2 research 2 deep-reinforcement-learning 2 jax 2 kubernetes 2 nlp 2 dataset 2 deep-learning-library 2 gan 2 machinelearning 2 tutorial 2 keras 2 hyperparameter-optimization 2 faster-rcnn 2 hyperparameter-search 2 zalando 1 jupyter-lab 1 mnist 1 r 1