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100-days-of-ml-code

100-Days-Of-ML-Code中文版

adaproto

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

annotated-pytorch-fm

Factorization Machine models in PyTorch

awesome-visual-instruction-tuning

chiziqiu.github.io

It's faster to take your time.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

detrex

IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms

dpgn

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

fedavg.pytorch

A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017

federated-meta

Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"

few-shot-gnn

fewshot-egnn

gnn_hierarchical_pooling

Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".

gnn_implementation

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-networks-roadmap

interview-for-algorithm-engineer

【三年面试五年模拟】算法工程师秘籍。AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、图像处理、元宇宙、SLAM等AI行业面试笔试经验分享

jd_seckill

keras-tutorials

Keras-Tutorials

learning2capture

libai

LiBai: A Toolbox for Large-Scale Distributed Parallel Training

libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

machine-learning

Content for Udacity's Machine Learning curriculum

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machine_learning_methods_playground

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

metal

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

parameterless-fsl