Stars
A feature-rich command-line audio/video downloader
Robust Speech Recognition via Large-Scale Weak Supervision
scikit-learn: machine learning in Python
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Investment Research for Everyone, Everywhere.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code for the paper "Language Models are Unsupervised Multitask Learners"
DALL·E Mini - Generate images from a text prompt
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Freeze (package) Python programs into stand-alone executables
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Open source annotation tool for machine learning practitioners. BC4B
A community driven list of useful Scala libraries, frameworks and software.
Bayesian Modeling and Probabilistic Programming in Python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A Python implementation of global optimization with gaussian processes.
Python library for processing Chinese text
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A system for quickly generating training data with weak supervision
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
urllib3 is a user-friendly HTTP client library for Python
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies