Jianyu Wang's starred repositories
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ColossalAI
Making large AI models cheaper, faster and more accessible
opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
clevr-dataset-gen
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
SceneGraphParser
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
Instructgpt-prompts
A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.
dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
ContinualLM
An Extensible Continual Learning Framework Focused on Language Models (LMs)
vision-language-models-are-bows
Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023
LLM-Continual-Learning-Papers
Must-read Papers on Large Language Model (LLM) Continual Learning
COCO-dataset-explorer
Streamlit tool to explore coco datasets
caltech_birds
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
ProactiveDialogues
Proactive Dialogue Systems - Paper Reading List
expectations-over-alternatives
Code and data for "Expectations over unspoken alternatives predict pragmatic inferences" (Hu et al., TACL 2023)