MengyaoHuang's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
MaartenGr/KeyBERT
Minimal keyword extraction with BERT
acbull/pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
nsonnad/base16-ipython-notebook
Themes for your IPython Notebook
wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
Joseph94m/MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
NorskRegnesentral/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
kushagra06/CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
otokonoko8/implicit-variational-inference
The collection of recent papers about variational inference
shi-yan/FreeWill
A deep learning library in C++/CUDA
mdeib/berkeley-deep-RL-pytorch-starter
Pytorch starter code for UC Berkeley's cs285 assignments
sequenceanalysis/sequenceanalysis.github.io
ismorphism/DeepGame
Multi-agent reinforcement learning programs based on Game theory
silencial/DeepRL
Berkeley CS285 2019 homework solution
vincentkslim/cs285_homework_fall2020
CS285 Homework
ahmedbesbes/multi-label-sentiment-classifier
How to build a multi-label sentiment classifiers with Tez and PyTorch
datang1992/Correlated-VAEs
Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"
greght/Workshop-Keras-DNN
baaesh/DeConv-VAE-pytorch
Deconvolutional Latent-Variable Model for Text Sequence Matching
burantiar/Prometheus
"Prometheus" research project was developed under the Future of Marketing Initiative (FOMI).
cmgiler/Movie-Hype-Predictor
Linear regression model to predict box office opening weekend gross sales based on genre, rating, release season, and overall cast popularity.
natematias/upworthy-archive
Website for the Upworthy Archive
anujk3/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.