Sandy Tanwisuth's repositories
diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
autograd
Efficiently computes derivatives of numpy code.
avalon
A 3D video game environment and benchmark designed from scratch for reinforcement learning research
chatgpt_arxiv_analysis
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
cog
Containers for machine learning
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
course22
The fast.ai course notebooks
dreambooth
A Cog model that takes training images as input and generates custom Stable Diffusion model weights as output
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
face-api.js
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
gridworld
A reinforcement learning environment for the IGLU 2022 at NeurIPS
hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
hopfield-layers
Hopfield Networks is All You Need
interview-guide
An opinionated, actionable guide for software engineering interviews.
lora-inference
LoRA inference model packaged with Cog
marl-jax
JAX library for MARL research
Megatron-LM
Ongoing research training transformer models at scale
ml-compiled
Quick definitions and intuitive explanations around machine learning.
MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
PySyft
data science on data without acquiring a copy
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Syllabus
Synchronized Curriculum Learning for RL Agents