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augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

awesome-influence-maximization-papers

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems and neural networks

continest-influlearner-..

db-gpt

A Open Database-GPT Experiment, which based on vicuna-13b and fastchat, meanwhile it use langchain and llama-index for in-context learning and QA

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai_dev

fast.ai early development experiments

hugging-llm

HuggingLLM, Hugging Future.

imm-python

Simple and Fast State-of-Art Implementation of Influence Maximization Problem

l0_regularization

Learning Sparse Neural Networks through L0 regularization

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

neural-mf

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

notebooks

:notebook: A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

openai-cookbook

Examples and guides for using the OpenAI API

pytorch-data-generator

Template for data generator with PyTorch

pytorchreg

Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchdyn

A PyTorch based library for all things neural differential equations

train-lora