機械学習 · GitHub

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

Training Very Deep Neural Networks Without Skip-Connections

PyTorch and Tensorflow functional model definitions

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

基于pytorch的bert_bilstm_crf中文命名实体识别

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

A light weight, super fast, large scale machine learning library on spark .

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

Hybrid recommender system + RAG chatbot for IT courses (FastAPI + Express/TS + PostgreSQL), with an independent Data Lakehouse module (Spark/Kafka/dbt/Trino) and full CI/CD

Machine Learning algorithms implemented from scratch

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow