AI Research's repositories
Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
ColossalAI
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
text_classification-1
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比
OpenGait
A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Practical-Data-Science-with-Python
Practical Data Science with Python, published by Packt
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
alphafold
Open source code for AlphaFold.
ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
automl
Google Brain AutoML
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
FLAML
A fast and lightweight AutoML library.
EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt
Mastering-Unsupervised-learning-with-Python
Code Repository for Mastering Unsupervised learning with Python, Published by Packt
YOLOF
You Only Look One-level Feature (YOLOF), CVPR2021, Detectron2
InnerEye-DeepLearning
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack
RSPapers
A Curated List of Must-read Papers on Recommender System.
FastSpeech2
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Advanced-NLP-with-TensorFlow-2
Advanced NLP with TensorFlow 2, published by [Packt]
Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
PythonDataAnalysisCookbook
Python Data Analysis Cookbook, published by Packt
Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt