tranlm

ask-fsdl

Document Q&A over The Full Stack's Corpus

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

capsule-networks

A Tensorflow implementation of Capsule Networks

chipy_finsig_2017_08

cs224d

Deep Learning for NLP

deep_qa

A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

drl

Homework for CS 294-112: Deep Reinforcement Learning

DSB2017

The solution of team 'grt123' in DSB2017

fsdl-text-recognizer-project

Full Stack Deep Learning Bootcamp Project (Public)

gamlss

In this repo, I work on the implementation of the R\gamlss package in Python.

heroku-buildpack-python

homework

Imitation Learning Homework 1

influence-release

MGP-RNN

A TensorFlow implementation of "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier", ICML 2017.

mistake-in-retro-contest-of-OpenAI

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

modular_rl

Implementation of TRPO and related algorithms

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

pytrends

Pseudo API for Google Trends

relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

retro_contest_agent

RetroCodes

Codes of our team for the OpenAI Retro Contest of reinforcement learning

scikit-learn

scikit-learn: machine learning in Python

stats202.github.io

w

strata_ny_2017_recommender_tutorial

Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial

tensorflow-rl

Implementations of deep RL papers and random experimentation

tmleVariance

Code corresponding to the paper "Robust variance estimation and inference for causal effect estimation"

tranlm.github.io

Personal website