- My Blog: https://aichamp.wordpress.com/ My e-Books: H2O - User Guide
- Motivation: Life & Career Events: 2017 2018 2019
- Me : @stackoverflow ! @dzone ! @LinkedIn ! @Medium
Visit Everyday | You get.. |
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By @avkashchauhan | Collection of content |
OpenCV.org | AI Courses by OpenCV |
DeepAI.org | Build with AI: Add cutting-edge functionality to your apps with machine learning |
D2L.ai | Dive into Deep Learning - An interactive deep learning book with NumPy and NDArray |
| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Algorithms | Programming | Deep Learning | Organizations | Burning HOT AI |
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GLM ! GBM | Python ! R | Everything DL | Google ! Microsoft | Github - Top10 |
AutoML ! Ensembles | MyNotebooks | Everything ML | AWS ! Facebook ! SAS | KDNuggets- Top10 |
RandomForest | Java ! Scala | Self-driving Auto | H2O ! H2O4GPU ! Nvidia | Awesome-DeepLearning |
DeepLearning | Spark | GAN | MATLAB ! OpenAI | Dive Into ML |
K-Means | Feature Engineering | Model-Interpretability | AI2 ! ML Journal ! Partnership on AI | MLAlgorithms |
Naive Bayes | AnswerBots | Time-Series | Baidu ! Berkeley_AI | ML for SE/DEV |
PCA ! GLRM | Genetic Programming | Model Management | QUORA ! REDDIT | ML from Scratch |
Ensembles | Code Samples | Reinforcement Learning | Kaggle ! Analytics Vidhya ! EvalAI ! Challanger AI | Cheatsheet - AI |
- Forecasting gas and electricity utilization using Facebook prophet
- TensorBeat - Building AnswerBot with Keras and Tensorflow Slides
- Artistic Design with Deep Learning
- Visualizing H2O GBM and Random Forest MOJO Models Trees in python
- Deep Learning with Tensorflow on RaspberryPi
- Computer Vision and Deep Learning Project
- zsh on OSX
- Multiple Git Accounts with SSH
- Adding Proxy Setting in React CoreUI to connect backend
- GitHub - Tips & Tricks
- Setting PostgreSQL in Docker
- Python Tips and Tricks
Title | What is in it? |
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Dive into Deep Learning - NDArray | Deep Learning with NDArray - https://classic.d2l.ai/ |
Dive into Deep Learning - NumPy | Deep Learning with NumPy - https://d2l.ai/ |
AI4ALL | - 1) AI 101 CheatSheet: http://montreal.ai/ai4all.pdf |
Computer vision Resoucres | By Satya Malik https://learnopencv.com |
Deep Learning Visual Cheatsheat | - Collection of various cheat sheet collection |
Handwritten Deep Learning Notes | Handwritten notes in Deep Learning |
Interpretable Machine Learning By Christoph Molnar | A Guide for Making Black Box Models Explainable - Book |
DZone AI Research Guide 2018 | A Report from Dzone on AI research |
Driving Digital Transformation Using AI and Machine Learning - TDWI | A Report by TDWI |
Data Scientist Rerport by Figure Eight | Figure Eight Report |
Launching AI Project - Figure8 | A Figure 8 Report |
A Book on Churn | A Report by Price Intelligently |
This site is a collection of resources from all over the internet. Some of the content is mine however most of the content is created by others and by no means I am claiming it to be mine. I try my best to add proper links as needed however if I have missed something it is just a mistake.
Please visit here for individual resources collection links.