Stars
A collection of research and application papers of (uncertainty) calibration techniques.
MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
YLearn, a pun of "learn why", is a python package for causal inference
all kinds of text classification models and more with deep learning
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Uplift modeling and causal inference with machine learning algorithms
An index of algorithms for learning causality with data
A curated list of resources for Learning with Noisy Labels
A library for efficient similarity search and clustering of dense vectors.
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Flops counter for neural networks in pytorch framework
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Simple, online, and realtime tracking of multiple objects in a video sequence.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
RSTutorials: A Curated List of Must-read Papers on Recommender System.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark