Stars
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Linux-CAN / SocketCAN user space applications
A Python library for designing chips (Photonics, Analog, Quantum, MEMS), PCBs, and 3D-printable objects. We aim to make hardware design accessible, intuitive, and fun—empowering everyone to build t…
real time face swap and one-click video deepfake with only a single image
A Conversational Speech Generation Model
A collection of GPT system prompts and various prompt injection/leaking knowledge.
Data and runtime repository for the Water Supply Forecast Rodeo competition on DrivenData
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
CoTracker is a model for tracking any point (pixel) on a video.
[IJCV] Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Official PyTorch implementation of BigVGAN (ICLR 2023)
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
NVIDIA Linux open GPU kernel module source
Ghidra is a software reverse engineering (SRE) framework
Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Run TensorFlow models in C++ without installation and without Bazel
Your self-hosted, globally interconnected microblogging community
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.