Jason Dou's repositories
Proxy-Anchor-CVPR2020
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
bern
A neural named entity recognition and multi-type normalization tool for biomedical text mining
clinicalBERT
repository for Publicly Available Clinical BERT Embeddings
Counterfactual-Recurrent-Network
Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar
Courseworks
Programming courseworks at Peking University
craig
Data-efficient Training of Machine Learning Models
Deep-Wasserstein-Learning
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in this field.
EasyPositiveHardNegative
Pytorch implementation of EasyPositiveHardNegative(EPHN)
hopper
Diverse sampling for single-cell datasets
M2E
code for paper Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
metric-learn
Metric learning algorithms in Python
negative-margin.few-shot
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
nsrs
Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
Pubmed-Batch-Download
Batch download articles based on PMID (Pubmed ID)
python-cheatsheet
Comprehensive Python Cheatsheet
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
rlpyt
Reinforcement Learning in PyTorch
scibert
A BERT model for scientific text.
Survey_of_Deep_Metric_Learning
A comprehensive survey of deep metric learning and related works
Time-Series-Deconfounder
Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar