machine-learning

R programming tips for data cleaning, data visualisation, statistical modelling and machine learning

Hypernetworks that update LLMs to remember factual information

An end-to-end Data Scientist

[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A curated list of awesome Active Learning

Distributed High-Performance Symbolic Regression in Julia

Resources about time series forecasting and deep learning.

A lightweight tool for labeling 3D bounding boxes in point clouds.

library supporting NLP and CV research on scientific papers

A fast and differentiable QP solver for PyTorch.

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Synthetic Data SDK ✨

🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source

Machine learning framework for both deep learning and traditional algorithms

A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.

:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science

Pool-based active learning in Python

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Physics-Informed Neural networks for Advanced modeling

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.

DoubleML - Double Machine Learning in Python

Helper functions to create COCO datasets

Collection of sports betting AI tools.

Shapley Interactions and Shapley Values for Machine Learning

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

A Neural Framework for MT Evaluation

Library for reading and processing ML training data.

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python