juntang-zhuang Goto Github PK

acprop-optimizer

Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adabelief-toy-examples-pytorch

numerical experiments in https://arxiv.org/pdf/2010.07468.pdf

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

alphafold2

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

alphageometry

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

big_vision

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

eadam-optimizer

Some improvements on Adam

explain_invertible

repo for "Decision explanation and feature importance for invertible networks"

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fairseq-adabelief

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

flax

Flax is a neural network library for JAX that is designed for flexibility.

gptstore-prompts

Here are the Top 100 prompts on GPTStore, which we can use to learn and improve prompt engineering.

gsam

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

interviews_prep

Coding Interview Preparation

juntang-zhuang

juntang-zhuang.github.io

keras

Deep Learning for humans

laddernet

large-sequence-modeling

Transformers with Arbitrarily Large Context, No Approximations

linear-algebra-basics

Linear Algebra Fundamentals for Machine Learning

machine-learning-basics

Basics for Machine Learning

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).