Stars
Fraud Detection Analysis for Banking Transactions. Advanced algorithms and machine learning models to analyze and identify fraudulent activities in financial transactions.
Neural relation extraction (NRE) system that utilizes Transformer models, specifically BERT, to identify and classify relationships between entities in text.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Build a dialog dataset from online books in many languages
A curated list of Large Language Model (LLM) Interpretability resources.
A Python implementation of global optimization with gaussian processes.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Seamlessly integrate LLMs into scikit-learn.
Improving XGBoost survival analysis with embeddings and debiased estimators
Data Science and Machine Learning based techniques to explore the credit card risk of users using the Nubank dataset.
Housing portolio optimization based on houses properties and survival analysis considering pricing and time on market (liquidity) .
An implementation of a deep learning recommendation model (DLRM)
[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
The developer platform for on-demand cloud development environments to create software faster and more securely.
🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.
fklearn: Functional Machine Learning
Solidity, the Smart Contract Programming Language
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
GitPython is a python library used to interact with Git repositories.
[HELP REQUESTED] Generalized Additive Models in Python
🐙 Generalized additive models in Python with a Bayesian twist
Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.githu…