nnethery's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
mailgun/transactional-email-templates
Responsive transactional HTML email templates
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
MightyMoud/sidekick
Bare metal to production ready in mins; your own fly server on your VPS.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
spotify/basic-pitch
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
facebookresearch/encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
ReagentX/imessage-exporter
Export iMessage data + run iMessage Diagnostics
StanfordBDHG/HealthGPT
Query your Apple Health data with natural language 💬 🩺
facebookresearch/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
DropbaseHQ/dropbase
Dropbase helps developers build and prototype web apps faster with AI. Dropbase is local-first and self hosted.
satorumurmur/bibi
Bibi | EPUB Reader on your website.
konsav/email-templates
Responsive HTML email templates
cbh123/charl-e
Run Stable Diffusion on your M1 Mac
Neutone/neutone_sdk
Join the community on Discord for more discussions around Neutone! https://discord.gg/VHSMzb8Wqp
kuleshov/cornell-cs5785-2024-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
qiuqiangkong/piano_transcription_inference
sony/model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
nmwsharp/nonmanifold-laplacian
A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]
gyroflow/gyroflow-ofx
sony/FxNorm-automix
FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system
theDanielJLewis/dynamic-compressor-for-audacity
Chris's Dynamic Compressor plugin for Audacity
NatronGitHub/openfx
OpenFX effects API
AI-Guru/musictransformer2023
cwitkowitz/amt-tools
Machine learning tools and framework for automatic music transcription.
boblsturm/aimusicgenerationchallenge2022
The Ai Music Generation Challenge 2022
gcunhase/samplernn-pytorch
PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
gingray/openfx-template
Davinci Resolve plugin bootstrap template
SkyrimScripting/Bind
{!BIND} - Easier Papyrus Development