sdjoko's repositories
vectorsearch-applications
Vector Search applications repo for Uplimit course
adv_nlp_workshop_odsc_europe22
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
adversarial-robustness-toolbox
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
debugging-data-science
Materials and resources for Debugging Data Science LiveTraining
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deep_Fundamental_Factors
Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Flexible-Fairness-Constraints
Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
fsi-samples
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
GLG-Topic-Modeling
Deployment of a UI on ElasticBeanstalk and Sagemaker Endpoints for Named Entity Recognition (NER) with BERT and Topic Modelling with Latent Dirichlet Allocation (gensim LDA-multicore)
google-research
Google Research
gpt-3
GPT-3: Language Models are Few-Shot Learners
hudson-and-thames-research
Research Repo (Archive)
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Machine-Learning-with-Python-1
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and validation
practical-machine-learning
Examples and code for the Practical Machine Learning workshop series
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
sdg_data_catalog
The SDG Data Catalogue is an open, extensible, global database of data sets, metadata, and research networks built automatically by mining millions of published open access academic works.
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks