The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Google Research

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Natural Language Processing Tutorial for Deep Learning Researchers

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Companion webpage to the book "Mathematics For Machine Learning"

This repository contains demos I made with the Transformers library by HuggingFace.

TensorFlow Tutorials with YouTube Videos

PyTorch tutorials.

Deep Learning Specialization by Andrew Ng on Coursera.

Visualizations for machine learning datasets

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A collection of infrastructure and tools for research in neural network interpretability.

unet for image segmentation

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A repo for data science related questions and answers

LLM Finetuning with peft

InferSent sentence embeddings

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

Python library for interactive topic model visualization. Port of the R LDAvis package.

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0