quantumiracle Goto Github PK
Name: Zihan Ding
Type: User
Bio: PhD at ECE Dept. Princeton University | MSc of ML at Imperial College London | Intern @Adobe @ Meta FAIR @ Borealis AI @ Tencent Robotics X @ Inspir.ai
Location: Princeton
Name: Zihan Ding
Type: User
Bio: PhD at ECE Dept. Princeton University | MSc of ML at Imperial College London | Intern @Adobe @ Meta FAIR @ Borealis AI @ Tencent Robotics X @ Inspir.ai
Location: Princeton
The Winning Solution for the Learning To Run Challenge 2017
Chainer implementation of adversarial autoencoder (AAE)
:alarm_clock: AI conference deadline countdowns
Autoregressive policies for continuous control reinforcement learning
Web interface for browsing, search and filtering recent arxiv submissions
This project is for learning and researching on Deep RL. Maintained by University AI researchers.
A curated list of Meta-Learning resources/papers.
Implementation of advantage-weighted regression.
Efficient Batched Reinforcement Learning in TensorFlow
A community repository for benchmarking Bayesian methods
A Python implementation of global optimization with gaussian processes.
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
Simulation of spiking neural networks (SNNs) using PyTorch.
Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Code to trade the financial markets using Contextual Bandits
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
Unofficial Implementation of Consistency Models in pytorch
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.
Hands-on Deep Reinforcement Learning, published by Packt
Automatic coloring and shading of manga-style lineart, using Tensorflow + cGANs
Deep Learning (Python, C, C++, Java, Scala, Go)
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.