tris-sondon

audiocraft

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 music generation LM with textual and melodic conditioning.

ext4fuse

EXT4 implementation for FUSE

GPU_linux

Setups and configs to use NVIDIA GPU for ML

homebrew

The missing package manager for OS X.

llama_fb

Inference code for LLaMA models

matplotlib

numpy

Numpy main repository

scipy

Scipy main repository

scipy-lectures.github.com

webpage

tris-sondon/audiocraft

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 music generation LM with textual and melodic conditioning.

tris-sondon/dalle-mini

DALL·E Mini - Generate images from a text prompt

tris-sondon/GPU_linux

Setups and configs to use NVIDIA GPU for ML

tris-sondon/JUCE

JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, RTAS and AAX audio plug-ins.

tris-sondon/llama_fb

Inference code for LLaMA models

tris-sondon/magenta

Magenta: Music and Art Generation with Machine Intelligence

tris-sondon/NeMo

NeMo: a toolkit for conversational AI

tris-sondon/audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

tris-sondon/b_transformers_23

Jupyter notebooks for the Natural Language Processing with Transformers book

tris-sondon/coqui-TTS

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

tris-sondon/ddsp

DDSP: Differentiable Digital Signal Processing

tris-sondon/Decision-Making-Under-Uncertainty

Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss

tris-sondon/decisionmaking-ancillaries

Ancillaries for Algorithms for Decision Making

tris-sondon/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

tris-sondon/keras

Deep Learning for humans

tris-sondon/mt3

MT3: Multi-Task Multitrack Music Transcription

tris-sondon/music-spectrogram-diffusion

tris-sondon/musictransformer2023

tris-sondon/python-rtmidi

Python bindings for the cross-platform MIDI I/O library RtMidi

tris-sondon/Rack

The virtual Eurorack studio

tris-sondon/Reinforcement-Learning-Papers

Related papers for reinforcement learning

tris-sondon/relational_dbs

tris-sondon/scio

A Scala API for Apache Beam and Google Cloud Dataflow.

tris-sondon/t5x

tris-sondon/tensor_flow_docs

TensorFlow documentation

tris-sondon/tree

Tree for Unix/LInux

tris-sondon/tris-sondon.github.io

tris-sondon/udlbook

Understanding Deep Learning - Simon J.D. Prince

tris-sondon/vscode_key_shortcuts

My VS Code keyboard shortcuts

tris-sondon/whisper

Robust Speech Recognition via Large-Scale Weak Supervision