yaqianzhang Goto Github PK
Name: Yaqian
Type: User
Bio: PhD in Nanyang Technological University
Name: Yaqian
Type: User
Bio: PhD in Nanyang Technological University
Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.
RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Sample-Efficient Reinforcement Learning with Bootstrapped Dual Policy Iteration
The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
A implementation of the paper "Correlational Neural Networks" (2015)
Implementation of Correlational Neural Networks using tensorflow
Assignment for stanford course CS231n IN 2016
My solution to CS294-CS294-112: Deep Reinforcement Learning (UC Berkeley; 2017 Fall)
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Dinky is a Jekyll theme for GitHub Pages
Official Implementation of 'Fast AutoAugment' in PyTorch.
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Code for reproducing ICT ( published in IJCAI 2019)
Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
Loss landscape analysis for continual learning algorithms
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
Models and examples built with TensorFlow
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.