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18336

18.336 - Fast Methods for Partial Differential and Integral Equations

3blue1brown.com

adamemlbfgs-pytorch

A PyTorch implementation of an Adaptive Memory Multi-Batch L-BFGS

admm

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

adversarial_attack

Adversarial Attacks on MNIST

agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

alphafold

Open source code for AlphaFold.

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

alphalens

Performance analysis of predictive (alpha) stock factors

analytic-dpm

Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outstanding Paper Award)

awesome-matlab

A curated list of awesome MATLAB toolboxes, applications, software and resources.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

beamforming

SDR is fun.

botorch

Bayesian optimization in PyTorch

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dlsc-2023

ETH Zürich Deep Learning in Scientific Computing Master's course 2023

dx

DX Analytics | Financial and Derivatives Analytics with Python

envd

🏕️ Reproducible development environment for AI/ML

fbpinns

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

generativelatentflow

The PyTorch implementation of the GLF