huylenguyen's Stars
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
huggingface/evaluation-guidebook
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
data-apis/array-api-compat
Compatibility layer for common array libraries to support the Array API
OpenBB-finance/OpenBB
Investment Research for Everyone, Everywhere.
yifanc96/GaussianProcessPDEs
An integrated demo: Gaussian processes for PDEs and inverse problems
lanl/dfdjaxGP
A python package for fitting Gaussian processes in Jax and performing prediction on nearly arbitrary derivatives
wesselb/stheno
Gaussian process modelling in Python
digiLab-ai/twinLab-Interface
Augmenting engineering workflows with Probabilistic Machine Learning
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
HKUDS/GraphST
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
ziegler-ingo/ClassifyWithCertainty
Out-of-Distribution Detection for Text Classification Using Stochastic Attention and the Deep Deterministic Uncertainty Framework
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
1rgs/jsonformer
A Bulletproof Way to Generate Structured JSON from Language Models
FreddyWordingham/MixtralLLM
Example of how to deploy the Mixtral LLM serverlessly using Modal
zaai-ai/large-language-models
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
ich777/docker-steamcmd-server
Simple Dockerfile that installs steamcmd and a selected game server
ES-Catapult/electrification_of_heat
Notebooks which enable processing of the EoH monitoring data from its raw format through stages of cleaning, data scoring, heat pump performance calculations and analysis.
EFS-OpenSource/calibration-framework
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
pia-foss/manual-connections
Scripts for manual connections to Private Internet Access
jbagwell27/pia-autoconnect-wireguard
Automatically regenerate a token and connect to PIA's Wireguard servers
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
JACOBSMILE/tmodloader1.4
An easy to configure Docker Image for tModLoader 1.4 servers.
itsToggle/plex_debrid
Plex torrent streaming through Debrid Services
vzamora/Proxmox-Cheatsheet
This is a compilation of notes I've gathered while setting up my own Proxmox server at home.
T-Flet/GPy-ABCD
A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
jamesrobertlloyd/gp-structure-search