sngweicong's Stars
facebookresearch/habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
facebookresearch/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
mjl/particle_filter_demo
Example of a simple particle filter for robot location, Stanford's Intro to AI
denisyarats/pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
toshikwa/soft-actor-critic.pytorch
PyTorch implementation of Soft Actor-Critic(SAC).
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
haarnoja/sac
Soft Actor-Critic
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
mufeili/DL4MolecularGraph
Literature of deep learning for graphs in Chemistry and Biology
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
python-telegram-bot/python-telegram-bot
We have made you a wrapper you can't refuse
kpcyrd/sn0int
Semi-automatic OSINT framework and package manager
sherlock-project/sherlock
Hunt down social media accounts by username across social networks
jivoi/awesome-osint
:scream: A curated list of amazingly awesome OSINT
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
coder/code-server
VS Code in the browser
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
acids-ircam/pytorch_flows
Implementation and tutorials of normalizing flows with the novel distributions module
deezer/spleeter
Deezer source separation library including pretrained models.
facebookresearch/open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
psf/requests
A simple, yet elegant, HTTP library.
facebookresearch/gtn
Automatic differentiation with weighted finite-state transducers.
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
mmistakes/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
benbalter/jekyll-remote-theme
Jekyll plugin for building Jekyll sites with any GitHub-hosted theme