giangpol's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CorentinJ/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
RasaHQ/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
gunthercox/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
mher/flower
Real-time monitor and web admin for Celery distributed task queue
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
facebook/duckling
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
snipsco/snips-nlu
Snips Python library to extract meaning from text
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
huggingface/transfer-learning-conv-ai
🦄 State-of-the-Art Conversational AI with Transfer Learning
changwookjun/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
christian-bromann/awesome-selenium
A curated list of delightful Selenium resources.
rajpurkar/SQuAD-explorer
Visually Explore the Stanford Question Answering Dataset
google-research-datasets/paws
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.
yoheikikuta/bert-japanese
BERT with SentencePiece for Japanese text.
priya-dwivedi/cs224n-Squad-Project
rhwilr/vue-nestable
A simple drag & drop hierarchical list made as a vue component.
chiayewken/bert-qa
BERT for question answering starting with HotpotQA
thunlp/EntityDuetNeuralRanking
Entity-Duet Neural Ranking Model
dineshsonachalam/tech-courses-search-engine
A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.
kah-ve/MarketGAN
Implementing a Generative Adversarial Network on the Stock Market
tmu-nlp/JapaneseWordSimilarityDataset
Japanese Word Similarity Dataset
dobromir-hristov/vue-i18n-starter
A Vue.js starter project for i18n websites
zayedrais/DocumentSearchEngine
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
yagays/embedrank
Python Implementation of EmbedRank
gsh199449/productqa
Product-Aware Answer Generation in E-Commerce Question-Answering
Parkchanjun/OpenNMT-Colab-Tutorial
OpenNMT Colab Tutorial Pytorch && Tensorflow
aaldaber/snips_training_data_to_rasa