- Adelaide, Australia
- https://jack.valmadre.net/
- https://orcid.org/0000-0003-1004-2784
- @jvlmdr
- @valmad.re
Highlights
- Pro
Stars
Library for reading and processing ML training data.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Tutorial on implementing a camera using Metal in Swift on iOS
Hugging Face implementation to train a GPT-2 model on LMD logging in WandB
Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset
Riffusion extension for AUTOMATIC1111's SD Web UI
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Collection of audio-focused loss functions in PyTorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
A project to synthesize massive amounts of multitrack audio data from MIDI.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
(2020-2022)The PyTorch version of SiamFC,SiamRPN,DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…
Lean 3's obsolete mathematical components library: please use mathlib4
A timeline of the latest AI models for audio generation, starting in 2023!
The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.
📊 Benchmark multiple object trackers (MOT) in Python
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
terashuf shuffles multi-terabyte text files using limited memory
Performance-portable, length-agnostic SIMD with runtime dispatch
A small application for piping output from libfreenect2 to a v4l2loopback device so the Kinect 2 can be used as a webcam in Linux.
A selection of neural network models ported from torchvision for JAX & Flax.
Concrete: TFHE Compiler that converts python programs into FHE equivalent