umr2015's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
OpenInterpreter/open-interpreter
A natural language interface for computers
PKU-Alignment/omnisafe
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
BlinkDL/ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
THUDM/VisualGLM-6B
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型
yangdongchao/InstructTTS
The deme page of InstructTTS
agiresearch/OpenAGI
OpenAGI: When LLM Meets Domain Experts
microsoft/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
ys-zong/awesome-self-supervised-multimodal-learning
[T-PAMI] A curated list of self-supervised multimodal learning resources.
huggingface/community-events
Place where folks can contribute to 🤗 community events
anthropics/ConstitutionalHarmlessnessPaper
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
michigan-traffic-lab/Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
Zsring/sumo_carla_simulator
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
MLNLP-World/Paper-Picture-Writing-Code
MLNLP: Paper Picture Writing Code
xmed-lab/DistillingSelf
MICCAI 2022: Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
HekpoMaH/algorithmic-concepts-reasoning
Radical3-HeZhang/Awesome-Trustworthy-GNNs
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
facebookresearch/metaseq
Repo for external large-scale work
mazhengcn/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.