richhiey
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Collection of important articles to be treated as a textbook
🔥Highlighting the top ML papers every week.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A source-available invoice, quote, project and time-tracking app built with Laravel
this is for myself, development roadmap
AudioLDM training, finetuning, evaluation and inference.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Weeks, 24 Lessons, AI for All!
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Official PyTorch implementation of "Conditional Generation of Audio from Video via Foley Analogies".
This toolbox aims to unify audio generation model evaluation for easier comparison.
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built wi…
A text to audio pipeline using Riffusion (a finetuned stablediffusion model) and using RAVE a audio to audio AutoEncoder.
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
open soundstream-ish VAE codecs for downstream neural audio synthesis
QLoRA: Efficient Finetuning of Quantized LLMs
📋 A list of open LLMs available for commercial use.
A family of diffusion models for text-to-audio generation.
🔊 Text-Prompted Generative Audio Model
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
A technical report on convolution arithmetic in the context of deep learning
Website for the ISMIR 2023 Tutorial: Few-shot and Zero-shot Learning for MIR
Max-for-Live Device with python script that connect it to a hacked version of DDSP's Timbre Transfer Notebook. It use Google Drive APIs to share files between patch and notebook.