NongBin's Projects
Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
数据结构和算法必知必会的50个代码实现
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
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
An experimental open-source attempt to make GPT-4 fully autonomous.
AutoGluon: AutoML Toolkit for Deep Learning
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
The most cited deep learning papers
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Mapping a variable-length sentence to a fixed-length vector using BERT model
简单高效的Bert中文文本分类模型开发和部署,CPU上毫秒级预测
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)
100+ Chinese Word Vectors 上百种预训练中文词向量
超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
Convolutional Neural Network for Text Classification in Tensorflow
Chinese "spelling" error correction
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Public facing notes page
Deep Learning Specialization by Andrew Ng on Coursera.
Notes from the DeepLearning.AI courses
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Deep learning models trained to correct input errors in short, message-like text
English text corrector by using deep neural networks in Pytorch
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.