bolei-zhang's Stars
Wang-ML-Lab/llm-continual-learning-survey
Continual Learning of Large Language Models: A Comprehensive Survey
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Toni-SM/skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
Roestlab/massformer
Tandem Mass Spectrum Prediction with Graph Transformers
amazon-science/replay-based-recurrent-rl
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
szxiangjn/world-model-for-language-model
CarperAI/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
luchris429/purejaxrl
Really Fast End-to-End Jax RL Implementations
CraftJarvis/MC-Controller
Implementation of "Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction"
CraftJarvis/JARVIS-1
JARVIS-1: Open-world Multi-task Agents with Memory-Augmented Multimodal Language Models
NishanthVAnand/prediction-and-control-in-continual-reinforcement-learning
Code to reproduce results from the paper: Prediction and Control in Continual Reinforcement Learning, NeurIPS 2023.
sayantanauddy/clfd
Code for the paper Continual Learning from Demonstration of Robotic Skills
AGI-Labs/continual_rl
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
UMass-Foundation-Model/Co-LLM-Agents
Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"
geekan/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
DuaneNielsen/DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
Kaixhin/PlaNet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
BDBC-KG-NLP/MixCSE_AAAI2022
Code for AAAI 2022 paper Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives
microsoft/Distilled-Sentence-Embedding
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (AAAI 2020) - PyTorch Implementation
emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
blafabregue/TimeSeriesDeepClustering
This is the code corresponding to the experiments conducted for the work "End-to-end deep representation learning for time series clustering: a comparative study" (Baptiste Lafabregue, Jonathan Weber, Pierre Gançarki & Germain Forestier)
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
llazzaro/django-scheduler
A calendaring app for Django.
mbchang/decentralized-rl
Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
minqi/wordcraft
An environment for benchmarking commonsense agents
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
huggingface/trl
Train transformer language models with reinforcement learning.