joshpc's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
hasura/graphql-engine
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
dwmkerr/hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
goabstract/Marketing-for-Engineers
A curated collection of marketing articles & tools to grow your product.
nebuly-ai/nebuly
The user analytics platform for LLMs
ksindi/managers-playbook
:book: Heuristics for effective management
fastapi-users/fastapi-users
Ready-to-use and customizable users management for FastAPI
sanchit-gandhi/whisper-jax
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
huggingface/distil-whisper
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
OpenPipe/OpenPipe
Turn expensive prompts into cheap fine-tuned models
facebookresearch/schedule_free
Schedule-Free Optimization in PyTorch
liferay/alloy-editor
WYSIWYG editor based on CKEditor with completely rewritten UI
facebookresearch/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
stack-auth/pgmock
In-memory Postgres for unit/E2E tests
adefossez/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
PaulWieland/ratgdo
afroisalreadyinu/miniboss
The most versatile way to manage containers locally
DoMusic/Hybrid-Net
Real-time audio to chords, lyrics, beat, and melody.
Vaibhavs10/fast-whisper-finetuning
ledermann/docker-rails-base
Optimized Docker image for Rails applications
AccessOwl/open_owl
Download user lists including user permissions from various SaaS applications without the need for a public API
EmilienDupont/wgan-gp
Pytorch implementation of Wasserstein GANs with Gradient Penalty
w86763777/pytorch-gan-collections
PyTorch implementation of DCGAN, WGAN-GP and SNGAN.
patch-technology/patch-ruby
Patch's Ruby client library - https://www.patch.io
mohmiim/MLIntroduction
Introduction to ML using Tensorflow
lawtancool/pyControl4
Python 3 asyncio package for interacting with Control4 systems
lucacoma/DiffTransfer
Timbre Transfer using Denoising Diffusion Implicit Models (ISMIR 2023)
vendethiel/GladiusEx
rjbergerud/Super-Sankey-CAN-Energy-Flows