jpilaul Goto Github PK
Name: Jonathan
Type: User
Location: Buenos Aires
Name: Jonathan
Type: User
Location: Buenos Aires
NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
Implementation for ACER in tensorflow and sonnet by deepmind
:alarm_clock: AI conference deadline countdowns
A curated list of awesome Generative Adversarial Nets resources.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Source code for experiments in the ICML 2016 paper "Complex Embeddings for Simple Link Prediction"
Highly modularized implementation of popular deep RL algorithms by PyTorch
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Cats_vs_Dogs for IFT6266 deep learning project
Contains code and data for the interactive-chain-prompting project
Moses Decoder trained on europarl to get perplexity - NLP + NMT
NeMo: a toolkit for conversational AI
A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
All the Git-it Workshop completers!
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)
On Conditional and Compositional Language Model Differentiable Prompting - PRopS code
Totally Versatile Miscellanea for Pytorch
Using untrained and randomly initialized encoders in summarization
A living collection of deep learning problems
A BERT model for scientific text.
TensorFlow Implementation of "Show, Attend and Tell"
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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.