aymar73 Goto Github PK
Name: Aymar LIGA
Type: User
Location: Canada
Name: Aymar LIGA
Type: User
Location: Canada
Deep Learning Examples
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Supporting material and projects for a course on Cloud DevOps: Microservices.
Reinforcement Learning with Goals
Deep Learning for NLP resources
TensorFlow for Deep Learning Book
Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
Checks whether Docker is deployed according to security best practices as defined in the CIS Docker Benchmark
A docker + flask + locust demo project
This is for a docker workflow
Deep Convolutional Neural Networks - Transfer Learning
Deep Convolutional Neural Networks - Transfer Learning...Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
DyNet: The Dynamic Neural Network Toolkit
Materials for an online EKS class
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Example notebook as an add-on to a Medium post about Deep Learning
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Methods of data exploration and visualization using Python.
Facebook chatbot that I trained to talk like me using Seq2Seq
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
The fastai deep learning library, plus lessons and and tutorials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.