Shasha-Lin's Stars
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
argoproj/argo-workflows
Workflow Engine for Kubernetes
dask/dask
Parallel computing with task scheduling
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
gzc/CLRS
:notebook:Solutions to Introduction to Algorithms
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
owid/covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
uber/h3
Hexagonal hierarchical geospatial indexing system
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
Avinash987/Coding
Data Structures and Algorithms (DSA) Preparation sheet
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
CalculatedContent/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
rixwew/pytorch-fm
Factorization Machine models in PyTorch
haarnoja/sac
Soft Actor-Critic
canghailan/Wuhan-2019-nCoV
2019-nCoV 新冠状病毒 2019-12-01至今国家、省、市三级每日统计数据（支持接口读取）
youyanggu/covid19_projections
COVID-19 Projections Using Machine Learning
facebookresearch/shaDow_GNN
NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
wsyCUHK/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
hsouri/BayesianTransferLearning
georkara/Chargym-Charging-Station
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).
zach401/acnportal
Research tools for the Adaptive Charging Network
VIDA-NYU/openclean
openclean - Data Cleaning and data profiling library for Python
willzhang3/MASTER-electric_vehicle_charging_recommendation
scc-usc/ReCOVER-COVID-19
Data-driven COVID-19 forecasts and detection of unreported cases
ledaliang/journalclub