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jimhamburger's Projects

senteval icon senteval

A python tool for evaluating the quality of sentence embeddings.

spacy-models icon spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tf-adaptive-softmax-lstm-lm icon tf-adaptive-softmax-lstm-lm

The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.

thesis icon thesis

Minghao Hu's thesis on Machine Reading Comprehension

tpa-lstm icon tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

translation icon translation

Translate English to Chinese with seq2seq + attention model.

unilm icon unilm

UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond

vector_similarity icon vector_similarity

Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

vpn icon vpn

ShadowSocks 翻墙（收费服务器：120元/年，1T流量，可看1080p视频。需要的可以联系微信：Dumin2712220318 ）

wenet icon wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit

wenetspeech icon wenetspeech

A 10000+ hours dataset for Chinese speech recognition

wevi icon wevi

Word Embedding Visual Inspector

word2vector icon word2vector

Self complemented word embedding methods using CBOW，skip-Gram，word2doc matrix , word2word matrix ,基于CBOW、skip-gram、词-文档矩阵、词-词矩阵四种方法的词向量生成

xla icon xla

Enabling PyTorch on Google TPU

yolov5_obb icon yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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