Jason Huang (jason-huang03)

jason-huang03

Geek Repo

Company:Tsinghua University

Location:Beijing, China

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Jason Huang's repositories

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llm.c

LLM training in simple, raw C/CUDA

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SPH_Project

SPH Realization of Fluid Simulation. Featuring Large Scale Simulation, Rigid-Fluid Coupling and High Viscosity Fluid.

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MIT-6.5940-Labs

All Homeworks for MIT 6.5940 • Fall • 2023 • TinyML and Efficient Deep Learning Computing • https://efficientml.ai

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BLOGS

blogs about life, study and work

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SPH_Taichi

A high-performance implementation of SPH in Taichi.

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on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

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privateGPT

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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stable-diffusion-webui

Stable Diffusion web UI

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Retrieval-based-Voice-Conversion-WebUI

Voice data <= 10 mins can also be used to train a good VC model!

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so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

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TTS

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

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PaddleSpeech

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

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so-vits-svc

SoftVC VITS Singing Voice Conversion

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ultimatevocalremovergui

GUI for a Vocal Remover that uses Deep Neural Networks.

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off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

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Ask-Anything

[VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

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d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

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sipser-computation-3rd-solutions

Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser

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