suno-ai / bark
🔊 Text-Prompted Generative Audio Model
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🔊 Text-Prompted Generative Audio Model
repo for demos Unlock insights with AWS GenAI services (re:Invent BOA303)
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Code release for NeRF (Neural Radiance Fields)
Notebooks and code for the book "Introduction to Machine Learning with Python"
Practical best practices for distilling large language models.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
The fastai book, published as Jupyter Notebooks
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Free Data Engineering course!
Inpaint anything using Segment Anything and inpainting models.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Experimental projects we've done with DepthAI.
PyTorch code and models for the DINOv2 self-supervised learning method.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Foundational Models for State-of-the-Art Speech and Text Translation
Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.