### Cheatsheets ai -

AI Cheatsheets Essential Cheat Sheets for deep learning and machine learning engineers Website: https://aicheatsheets.com Looking for a new job? Take Triplebyte’s quiz and get a job at top companies like Adobe, Dropbox and

### Reinforcement Learning - Jupyter Notebook

Learn Deep Reinforcement Learning in depth in 60 days

### Hands on transfer learning with python - Jupyter Notebook

Hands-On Transfer Learning with Python Implement advanced deep learning and neural network models using Tensorflow and Keras With the world moving towards digitalization and automation, as a technologist/programmer it

### Deep learning drizzle -

Drench yourself in Deep Learning & Reinforcement Learning by learning from these exciting lectures!!

### Amazon dsstne - C++

Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sp

### DeepLearningFlappyBird - Python

Using Deep Q-Network to Learn How To Play Flappy Bird 7 mins version: DQN for flappy bird Overview This project follows the description of the Deep Q Learning algorithm described in Playing Atari with Deep Reinforce

### HRNet Object Detection - Python

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

### Scratchai - Python

scratchai Builds Documentation Table of Contents: Classification Model Paper Implementation Configurations Lenet http://yann.lecun.com/exdb/publis/pdf/l

### Ivy

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

### Fsdl text recognizer 2021 labs - Jupyter Notebook

As part of Full Stack Deep Learning 2021, we will incrementally develop a complete deep learning codebase to understand the content of handwritten paragraphs.

### Beginners pytorch deep learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

### Satat4ML

Satat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP Registration Form: https://forms.gle/uV3qL9Wngtxxca9C6 Statistics a

### Stat4ML

Stat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP Registration Form: https://forms.gle/uV3qL9Wngtxxca9C6 Statistics an

### Tinyengine - C

TinyEngine This is the official implementation of TinyEngine, a memory-efficient and high-performance neural network library for Microcontrollers. Tin

### ML From Scratch - Python

Machine Learning From Scratch About Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally

### DeepLearnToolbox - MATLAB

Deprecation notice. This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. Theano, torch or tensorflow I would suggest you use one of the tools mention

### Rl4j - Java

IMPORTANT: THIS REPOSITORY HAS BEEN ARCHIVED AND RL4J HAS BEEN MOVED RL4J has been migrated to a sub-module of the mono-repository here: https://github.com/deeplearning4j/deeplearning4j All future development will continue at tha

### Drl - Jupyter Notebook

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

### DeepImageSearch - Python

Deep Image Search is an AI-based image search engine that includes deep transfer learning features Extraction and tree-based vectorized search

### Tensorlayer - Python

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI mo

### Async rl - Python

Asyncronous RL in Tensorflow + Keras + OpenAI's Gym This is a Tensorflow + Keras implementation of asyncronous 1-step Q learning as described in "Asynchronous Methods for Deep Reinforcement Learning". Since we're using multipl

### Onyx - Java

onyx Onyx is a library for android that can be used by developers to understand what type of content they are enabling inside their apps. An example can be to limit adult content in apps specifically made for children. Thro

### Neurojs - JavaScript

neurojs is a JavaScript framework for deep learning in the browser. It mainly focuses on reinforcement learning, but can be used for any neural network based task. It contains neat demos to visualise these capabilities, for instance a 2D

### Tensorflow image detection - Python

tensorflow-image-detection A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. This model has been pre

### Machine learning mindmap -

Machine Learning Mindmap / Cheatsheet A Mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. Overview Machine Learning is a subfield of computer science that gives computers the ability

### Pytorch a2c ppo acktr gail - Python

pytorch-a2c-ppo-acktr Please use hyper parameters from this readme. With other hyper parameters things might not work (it's RL after all)! This is a PyTorch implementation of Advantage Actor Critic (A2C), a synchro

### PyTorch RL - Python

PyTorch implementation of reinforcement learning algorithms This repository contains: policy gradient methods (TRPO, PPO, A2C) Generative Adversarial Imitation Learning (GAIL) Important notes The code now w

### Netron - JavaScript

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb, predict_net.pbt

### Cogitare - Python

Cogitare is a Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python. A friendly interface for beginners and a powerful toolset for experts. Cogitare is built on top of PyTorch. Documentat

### Personae - Python

Personae - RL & SL Methods and Envs For Quantitative Trading Personae is a repo that implements papers proposed methods in Deep Reinforcement Learning & Supervised Learning and applies them to Financial Market. Now

### Visdial rl - Python

Visdial-RL-PyTorch PyTorch implementation of the paper: Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning Abhishek Das*, Satwik Kottur*, José Moura, Stefan Lee, and Dhruv Batra https://arxiv.org/abs/1703

### ML - PHP

Rubix ML: Machine Learning for PHP A high-level machine learning and deep learning library for the PHP language. Developer-friendly API is easy and delightful to use Modular architecture combines power, flexibility,

### DL workshop series - Jupyter Notebook

DL-workshop-series Code used for Deep Learning related workshops for Machine Learning Tokyo (MLT) Part I: Convolution Operations Implementation ConvKernels: colab notebook with simple examples of various ke

### Ml data generator - Python

ml-data-generator A Python script to generate fake datasets optimized for testing machine learning/deep learning workflows using Faker. The script generates test datasets with a deterministic target variable for regression, binar

### NLP Models Tensorflow - Jupyter Notebook

NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Table of contents Abstractive Summarization Chatbot Dependenc

### Awesome ai ml dl - Jupyter Notebook

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

### Stock Prediction Models - Jupyter Notebook

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations

### Awesome Mobility Machine Learning Contents -

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

### Awesome ehr deeplearning -

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

### Awsome Deep Learning for Video Analysis -

Awesome Deep Learning for Video Analysis This repo contains some video analysis, especiall multimodal learning for video analysis, research. I summarize some papers and categorize them by myself. You are kindly invited to pul

### How to learn Deep Learning -

Approach A practical, top-down approach, starting with high-level frameworks with a focus on Deep Learning. Language versions: Korean | English Getting started [2 months] There are three main goals to get up to spe

### AI Curriculum -

AI Curriculum Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. Contents Introduction to Deep Learning MIT 6.S191: Introduction to Deep

### Personae - Python

Personae - RL & SL Methods and Envs For Quantitative Trading Personae is a repo that implements papers proposed methods in Deep Reinforcement Learning & Supervised Learning and applies them to Financial Market. Now

### Interactive Tools -

Interactive Tools for ML, DL and Math Content CNN Explainer Play with GANs in the Browser ConvNet Playground Distill: Exploring Neural Networks with Activation Atlases A visual introduction to Machine Learni

### Ml data bot - Python

Chatbot which helps you to get important statistics from the data to get insights to build Machine learning, Deep learning and Statistical models

### Pytorch project template

Deep Learning project template for PyTorch (Distributed Learning is supported)

### Imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

### Ml dev env - Dockerfile

Machine Learning / Deep Learning Environment. Everywhere. Anywhere.

### Teaching material

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell