4iar's Stars
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
roboflow/supervision
We write your reusable computer vision tools. 💜
lima-vm/lima
Linux virtual machines, with a focus on running containers
dabeaz-course/python-mastery
Advanced Python Mastery (course by @dabeaz)
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
DEAP/deap
Distributed Evolutionary Algorithms in Python
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
AndrewWalsh/openapi-devtools
Browser extension that generates API specs for any app or website
facebookresearch/co-tracker
CoTracker is a model for tracking any point (pixel) on a video.
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
paperswithcode/galai
Model API for GALACTICA
langroid/langroid
Harness LLMs with Multi-Agent Programming
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
alessiodm/drl-zh
Deep Reinforcement Learning: Zero to Hero!
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
microsoft/prompts-for-edu
fastai/fastcore
Python supercharged for the fastai library
aeturrell/coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
MilesCranmer/symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
koulanurag/ma-gym
A collection of multi agent environments based on OpenAI gym.
brainpy/BrainPy
Brain Dynamics Programming in Python
scikit-tda/scikit-tda
Topological Data Analysis for Python🐍
Bam4d/Griddly
A grid-world game engine for game AI research
tomsilver/pddlgym
Convert a PDDL domain into an OpenAI Gym environment.
neuromorphs/NIR
Neuromorphic Intermediate Representation reference implementation
yaodi833/traj_similarity
JonathanCrabbe/Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
MingSun-Tse/Awesome-Pruning-at-Initialization
[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
Pomax/are-we-flying
Writing auto-pilots in JavaScript for MSFS