Zi Wang

hil-bench. Python

proeval. GenAI evaluation framework, optimized for 100x lower cost 🚀.

atomic_concept_edits. Python

questbench. QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

proactive_t2i_agents. Code release for the paper, "Proactive Agents for Text-to-Image Generation under Uncertainty"

hyperbo-mphd. MPHD: a Model Pre-training method on Heterogeneous Domains

REDUCR. Github repo for REDUCR: Robust Data Downsampling using Class Priority Reweighting

grammar-prompting. Grammar Prompting for Domain-Specific Language Generation with Large Language Models

hyperbo. Pre-trained Gaussian processes for Bayesian optimization

gp-seminar-series.github.io. Virtual Seminar Series on Bayesian Decision-making and Uncertainty

gpax. Python

LTAMP. Learning for Task and Motion Planning (LTAMP)

init2winit. Python

recipy. Python

uncertainty-baselines. High-quality implementations of standard and SOTA methods on a variety of tasks.

nngp. Deep neural network kernel for Gaussian process

dm-haiku. JAX-based neural network library

deep-learning-uncertainty. Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

ProjectAnimalCrossing. JavaScript

neural-tangents. Fast and Easy Infinite Neural Networks in Python

CLoVER. Contour Location Via Entropy Reduction (NeurIPS 2018)

tutorials. Jupyter Notebook

vega. A visualization grammar.

botorch. Bayesian optimization in PyTorch

996.ICU. Repo for counting stars and contributing. Press F to pay respect to glorious developers.

SuperWeChatPC. 超级微信电脑客户端，支持多开、防消息撤销、语音消息备份...开放WeChatSDK

pytorch_geometric. Graph Neural Network Library for PyTorch

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

GenomonExpression. python script for calculating expression values from RNA-seq

enas. TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

bullet3. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

pytorch_kmeans. Implementation of the k-means algorithm in PyTorch that works for large datasets

movo_ws. movo workspace

MetaLearnBO. Python

gpytorch. A highly efficient implementation of Gaussian Processes in PyTorch

graph_nets. Build Graph Nets in Tensorflow

FleX. C++

SmoothParticleNets. A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynamics.

RoboticSystemsBook. A working draft of a free undergraduate robotics textbook, collected from lecture notes

18-RSS-PhysicalManipulation. Code supplement to the R:SS 2018 on Physical Manipulation (tested Feb 11, 2021 in Ubuntu 20 docker)

fish-shell. The user-friendly command line shell.

hubpress.io. A web application to build your blog on GitHub

mdp_proofs. TeX

pybullet_robots. Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

determinantal-point-processes. Determinantal Point Processes in Python (NumPy)

pddlstream. PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

pygp. Python package for inference with Gaussian processes

rl-erase. Reinforcement learning primitive skills learning

fancyimpute. Multivariate imputation and matrix completion algorithms implemented in Python

Xin-Yue. 岳昕：致北大师生与北大外国语学院的一封公开信

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

pybullet-planning. PyBullet Planning

motion-planners. Python implementations of several robotic motion planners

pybox2d. 2D Game Physics for Python

Compressed-Continuous-Computation. Library for computing with multidimensional functions

kernel-gof. NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

CycleGAN. Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

stripstream. STRIPS Planning in Infinite Domains

sru. Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

keras. Deep Learning for humans

elephas. Distributed Deep learning with Keras & Spark

fast-LayerNorm-TF. Efficient layer normalization GPU kernel for Tensorflow

GPflow. Gaussian processes in TensorFlow

climin. Optimizers for machine learning

tilecoding. A python implementation of tile coding using numpy.

mondrianforest. Code for Mondrian Forests (for classification and regression)

add-gp-bandits. Additive Gaussian Process Bandits - version 1.0

iGAN. Interactive Image Generation via Generative Adversarial Networks