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xinhen's Projects

llama-factory icon llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llama.onnx icon llama.onnx

LLaMa/RWKV onnx models, quantization and testcase

loftr icon loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

lstm icon lstm

基于LSTM神经网络的时间序列预测

lstm-2 icon lstm-2

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstm_rnn_tutorials_with_demo icon lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

lstnet icon lstnet

Towards Local Visual Modeling for Image Captioning

machine-learning-numpy icon machine-learning-numpy

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

macropodus icon macropodus

自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换,拼音转换。tookit(tool) of NLP,CWS(chinese word segnment),POS(Part-Of-Speech Tagging),NER(name entity recognition),Find(new words discovery),Keyword(keyword extraction),Summarize(text summarization),Sim(text similarity),Calculate(scientific calculator),Chi2num(chinese number to arabic number)

markov icon markov

Markov chain text generator, as used for KingJamesProgramming

meta-transfer-learning icon meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

mfm icon mfm

An official implementation for "Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning"

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

modelscope-agent icon modelscope-agent

ModelScope-Agent(开源版GPTs): An agent framework connecting models in ModelScope with the world

mv-lstm icon mv-lstm

an implementation of "A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations" in tensorflow

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