yalechang
interested in machine learning and its applications in improving healthcare
Philips Research North AmericaCambridge MA
yalechang's Stars
nomic-ai/gpt4all
GPT4All: Chat with Local LLMs on Any Device
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
OpenMined/PySyft
Perform data science on data that remains in someone else's server
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
google-deepmind/acme
A library of reinforcement learning components and agents
astooke/rlpyt
Reinforcement Learning in PyTorch
GPflow/GPflow
Gaussian processes in TensorFlow
Farama-Foundation/D4RL
A collection of reference environments for offline reinforcement learning
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
MIT-LCP/wfdb-python
Native Python WFDB package
david-cortes/contextualbandits
Python implementations of contextual bandits algorithms
locuslab/deq
[NeurIPS'19] Deep Equilibrium Models
nimarb/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
loshchil/AdamW-and-SGDW
Decoupled Weight Decay Regularization (ICLR 2019)
nearai/torchfold
Tools for PyTorch
freelunchtheorem/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
microsoft/mimic_sepsis
Sepsis cohort from MIMIC dataset
ssydasheng/Neural-Kernel-Network
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
clvoloshin/COBS
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
d2l-ai/d2l-pytorch-sagemaker
Automatically Generated Notebook for Sagemaker
clvoloshin/constrained_batch_policy_learning
ssydasheng/GPflow-Slim
customized GPflow with simple Tensorflow API
StanfordAI4HI/RepBM
Representation Balancing MDPs for Off-Policy Policy Evaluation