jackchen69's Stars
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
butterfliesss/SDT
open-mmlab/mmcv
OpenMMLab Computer Vision Foundation
sunsmarterjie/iTPN
(CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling
shikiw/DAM-VP
[CVPR 2023] Diversity-Aware Meta Visual Prompting
haochen-rye/HNeRV
Official Pytorch implementation for HNeRV: a hybrid video neural representation (CVPR 2023)
alibaba/lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
modelscope/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
stas00/ml-engineering
Machine Learning Engineering Open Book
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
peng-zhihui/XUAN
Yueming6568/DeltaEdit
rustdesk/rustdesk
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
asheeshcric/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
LeMei/UniMSE
yunyikristy/global_local
Xeaver/EmotionCLIP
[CVPR 2023] Code for "Learning Emotion Representations from Verbal and Nonverbal Communication"
WasifurRahman/BERT_multimodal_transformer
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
zeroQiaoba/MERTools
Toolkits for Multimodal Emotion Recognition
glnmario/emo2vec
Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings
mdswyz/DMD
An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)
lzw108/EmoLLMs
ASolitaryMan/HFLEA
FRAME-LEVEL EMOTIONAL STATE ALIGNMENT METHOD FOR SPEECH EMOTION RECOGNITION
forthespada/CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
s3prl/s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit
CMU-MultiComp-Lab/CMU-MultimodalSDK