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acol

(CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization

ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

alphafold_local

My guide to install Alphafold locally

alphafold_non_docker

AlphaFold2 non-docker setup

awesome-chatgpt-prompts

This repo includes ChatGPT promt curation to use ChatGPT better.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-longtailed-learning

A curated list of awesome deep long-tailed learning resources.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-parameter-efficient-transfer-learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome-vision-and-language-pre-training

Recent Advances in Vision and Language Pre-training (VLP)

cail2020

cc

Creative Commons copyright license files

cdb-loss

Official repository for ACCV 2020 paper 'Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance'

cete-lrec

Source code of the paper "Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task" published in LREC 2020.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

curriculum_learning

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

darp

Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

data-science-question-answer

A repo for data science related questions and answers

dcl

NeurIPS 2020, Debiased Contrastive Learning

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

deltapapers

Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

douglas2code

Config files for my GitHub profile.

easy_af2

Easy to AF2

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins