Stars
QLoRA: Efficient Finetuning of Quantized LLMs
Retrieval and Retrieval-augmented LLMs
Recipes for using Python's pandas library
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🏅 Collection of Kaggle Solutions and Ideas 🏅
365 Days Computer Vision Learning Linkedin Post
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
The Fuzzy Labs guide to the universe of open source MLOps
Deploy transformers serverless on AWS Lambda
An opinionated wrapper around FastAPI with custom microservice registration
A modular active learning framework for Python
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Elasticsearch with BERT for advanced document search.
Backstage is an open framework for building developer portals
Generate embeddings from large-scale graph-structured data.
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
💬 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
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Flask app to calculate compensation of a data scientist
Learn how to use PyTorch to solve some common NLP problems with deep learning.
JaeDukSeo / reinforcement-learning-an-introduction
Forked from ShangtongZhang/reinforcement-learning-an-introductionPython Implementation of Reinforcement Learning: An Introduction
Ready-to-run Docker images containing Jupyter applications
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave