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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cs224n-learning-camp

databaseproject

数据库课程项目

deep-person-reid

Pytorch implementation of deep person re-identification models.

dream

rnn based model for recommendations

dsn

This repository is a pure environment of DSNs.

fasttext

Library for fast text representation and classification.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

glm

GLM (General Language Model)

gym-unrealcv

Unreal environments for reinforcement learning

hit-mac

This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

homework

Assignments for CS294-112.

improved-boosting-alg

interpret

Fit interpretable models. Explain blackbox machine learning.

lectures

Oxford Deep NLP 2017 course

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

mycompiler

简单编译器实现：自动机词法分析器＋LR(1)语法分析器

neurawkes

Source code of The Neural Hawkes Process

open-reid

Open source person re-identification library in python

perceptron

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

pgproject

Database Final Project

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

recurrent-point-process

Modeling the asynchronous event sequence via Recurrent Point Process