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awesome-incremental-learning

Awesome Incremental Learning

awesome-ml-model-governance

This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-sound_event_detection

Reading list for research topics in Sound AI

awesome-system-design

A curated list of awesome System Design (A.K.A. Distributed Systems) resources.

awesome-system-for-machine-learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

awsome-deep-learning-for-video-analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

baby_cry_detection_database

bc-resnet

BC-ResNet for Keyword Spotting

bcresnet

Broadcasted Residual Learning for Efficient Keyword Spotting

bc_learning_sound

Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

binary_speech_features

Binary Speech Features for Keyword Spotting Tasks

bminf

Low-cost Inference Package for Big Pretrained Language Models (PLMs)

branchynet

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

cec-cvpr2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

channel-distillation

PyTorch implementation for Channel Distillation

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

cleanlab

The standard package for data-centric AI and machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

clipper

A low-latency prediction-serving system

code-lms

Guide to using pre-trained large language models of source code

coding-interview-university

A complete computer science study plan to become a software engineer.

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

composer

library of speed-up algorithms for model training

confluo

Real-time Monitoring and Analysis of Data Streams

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).