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Jinyi Zhang's Projects

deltaflow icon deltaflow

A GPU-accelerated differentiable fluid simulator written in JAX.

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

federated icon federated

A framework for implementing federated learning

fmtl icon fmtl

Federated Multi-Task Learning

gpt3-sandbox icon gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

graph_weather icon graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

jax-cfd icon jax-cfd

Computational Fluid Dynamics in JAX

jax-learn icon jax-learn

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

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

openmodelica icon openmodelica

OpenModelica is an open-source Modelica-based modeling and simulation environment intended for industrial and academic usage.

pytorch-ddpg icon pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

secureaggregation icon secureaggregation

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

tenseal icon tenseal

A library for doing homomorphic encryption operations on tensors

tf-encrypted icon tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

tree icon tree

tree is a library for working with nested data structures

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