Samson Qian's repositories
Macroeconomic-Default-Analysis
Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors
audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
contrastive-xai
Contrastive XAI methods
DragGAN
Code for DragGAN (SIGGRAPH 2023)
dsc140a-2024-wi
Public course materials for DSC 140A in Winter 2024.
Fractalshades
Arbitrary-precision fractal explorer - Python package
FreedomGPT
This codebase is for a React and Electron-based app that executes the FreedomGPT LLM locally (offline and private) on Mac and Windows using a chat-based interface (based on Alpaca Lora)
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
grok-1
Grok open release
imputing
Tools to identify type of missingness and appropriate imputation methods.
llama
Inference code for LLaMA models
panopto-dl
Toolkit to download video recordings from Panopto.
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
reinforcement_learning
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
Research
Open sourced research notebooks by the QuantConnect team.
RTG
Optiver Ready Trader Go Competition
SillyTavern
LLM Frontend for Power Users.
stable-diffusion-webui
Stable Diffusion web UI
stablesamson
My stable diff models (not degenerate)
SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Understanding-Stock-Price-Behavior-by-Guiding-Human-Intuition-with-Explainable-Generative-AI
Understanding Stock Price Behavior by Guiding Human Intuition with Explainable Generative AI
xAI-CAAE
Pytorch Implementation of the Explainable Conditional Adversarial Autoencoder using Saliency Maps and SHAP