lz-chen's Stars
openai/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Franck-Dernoncourt/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
ivan-bilan/Relation-Extraction-Transformer
NLP: Relation extraction with position-aware self-attention transformer
huggingface/hmtl
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
NVIDIA/sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
UKPLab/emnlp2017-relation-extraction
Context-Aware Representations for Knowledge Base Relation Extraction
chovanecm/sacredboard
Dashboard for sacred. Monitor and access your past machine learning experiments.
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
apmoore1/semeval
SemEval 2017 task 5 track 2 codebase.
openai/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
google-research/bert
TensorFlow code and pre-trained models for BERT
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
gyanesh-m/Sentiment-analysis-of-financial-news-data
Sentiment Analysis of news on stock prices
cvhciKIT/sloth
Sloth is a tool for labeling image and video data for computer vision research.
quantopian/qgrid
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
marcoguerini/DepecheMood
High-coverage and high-precision lexica of terms annotated with emotion scores for English and Italian.
ekzhu/datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
mattilyra/LSH
Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
Jackal08/financial-data-structures
Depricated repo. Please refer to mlfinlab
knowsis/novel-twitter-anomalies-pydatalondon2016
Detect novel anomalies on Twitter
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
vedic-partap/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
timbmg/Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349