Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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Capitol_one_DS
comet
Official repository for reproducing the paper "Constants of motion network" (NeurIPS 2022)
ControlTheoryNote
控制相关学习笔记
faceswap
Deepfakes Software For All
GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
heatherjiazg.github.io
Indentify_constraints_from_MBD
llama-2-7B-4bit-python-coder
Fine-tune and quantize Llama-2-like models to generate Python code using QLoRA, Axolot,..
jqwang2373's Repositories
jqwang2373/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jqwang2373/Capitol_one_DS
jqwang2373/comet
Official repository for reproducing the paper "Constants of motion network" (NeurIPS 2022)
jqwang2373/ControlTheoryNote
控制相关学习笔记
jqwang2373/faceswap
Deepfakes Software For All
jqwang2373/GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
jqwang2373/heatherjiazg.github.io
jqwang2373/Indentify_constraints_from_MBD
jqwang2373/llama-2-7B-4bit-python-coder
Fine-tune and quantize Llama-2-like models to generate Python code using QLoRA, Axolot,..
jqwang2373/LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
jqwang2373/low-fidelity-dynamic-models
A library of fast and accurate low fidelity dynamic models for applications in robotics
jqwang2373/mpm-snow
Julia implementation of "A Material Point Method for Snow Simulation"
jqwang2373/ODE
different methods for solving several ode
jqwang2373/PNODE-for-MBD
jqwang2373/reinforcement-learning-an-introduction
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
jqwang2373/Slider-Crank
Contains codes for forward dynamic analysis of slider crank mechanism.
jqwang2373/SnowSimulation
Snow simulation based on Disney's "The material point method for Snow Simulation" paper using Qt and CUDA
jqwang2373/sumo-tutorial
jqwang2373/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf