hazekiahwon Goto Github PK

-hw-content-security

hw of the course `Information Content Security` @ WHU

-hw-pattern-recognition

hw of the course `Pattern Recognition` @ WHU

audio_attack

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

caster

cs294-112_hws

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

cyclegan

Tensorflow implementation of CycleGAN

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

facenet

Face recognition using Tensorflow

facetype

facetype_rec

using facenet algorithm

fastai

The fast.ai deep learning library, lessons, and tutorials

figaro

Source code for "FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control"

goodluck

gst-tacotron

A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"

gst_tacotron2_wavenet

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

hazekiahwon.github.io

:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.

helios

helios2

machine-learning-yearning-cn

Machine Learning Yearning 中文版官方授权翻译

mattnet

MAttNet: Modular Attention Network for Referring Expression Comprehension

meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

mlds2017

multimodal-recurrent-model-with-attention-for-automated-radiology-report-generation

An implementation of the paper "Multimodal Recurrent Model with Attention for Automated Radiology Report Generation" in Pytorch. The repository is still under construction.

oyster

In-progress implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

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-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-mfnet

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.