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A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository contains implementations and illustrative code to accompany DeepMind publications
Best Practices, code samples, and documentation for Computer Vision.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
Companion site for the textbook Quantum Computing: An Applied Approach
Repository with code and slides for a tutorial on causal inference.
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge disco…
Examples of using deep learning in Bioinformatics
Example code from the book "Deep Learning for the Life Sciences"
构建医疗实体识别的模型，包含词典和语料标注，基于python构建
a sklearn wrapper for Google's BERT model
ULMFiT for Genomic Sequence Data
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
How to do Unsupervised Clustering with Keras