crazydonkey200

tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

minimal-nn

A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.

tensorflow-policy-gradient

SMEPy

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

deep-residual-networks

Deep Residual Learning for Image Recognition

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

automl

Google Brain AutoML

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

crazydonkey200.github.io

Personal website

google-research

Google AI Research

node-js-sample

A barebones Node.js app using the Express framework.

pwc

Papers with code. Sorted by stars. Updated weekly.

sempre

Semantic Parser with Execution

showcase-optimizer

slaytheweb

Slay the Web is a singleplayer, deck builder, roguelike card crawl game for the web based on Slay the Spire

snli_nn_tf

hacking on the stanford natural language inference (SNLI) corpus (tensorflow)

startbootstrap-freelancer

A one page HTML theme for freelancers created by Start Bootstrap

SudokuSolver

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

UFLDL-Tutorial-Exercise