chenllliang's Stars
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
ymcui/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
FMInference/FlexGen
Running large language models on a single GPU for throughput-oriented scenarios.
EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
microsoft/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
juncongmoo/pyllama
LLaMA: Open and Efficient Foundation Language Models
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
MineDojo/MineDojo
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
AetherCortex/Llama-X
Open Academic Research on Improving LLaMA to SOTA LLM
openai/Video-Pre-Training
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
openai/lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
openai/summarize-from-feedback
Code for "Learning to summarize from human feedback"
minerllabs/minerl
MineRL Competition for Sample Efficient Reinforcement Learning - Python Package
danijar/crafter
Benchmarking the Spectrum of Agent Capabilities
CarperAI/cheese
Used for adaptive human in the loop evaluation of language and embedding models.
CraftJarvis/MC-Planner
Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents"
tomekkorbak/pretraining-with-human-feedback
Code accompanying the paper Pretraining Language Models with Human Preferences
PKU-RL/Plan4MC
Reinforcement learning and planning for Minecraft.
open-evals/evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
chenllliang/ParetoMNMT
Source code for paper "On the Pareto Front of Multilingual Neural Machine Translation" @ NeurIPS 2023
i-Eval/ieval-instruction
Evaluate your Instruction-Tuned models on open Benchmarks, with just one command.
AMDonati/RL-NLP
Code for the paper "Learning Natural Language Generation with Truncated Reinforcement Learning"
gomiss/neurips-2022-minerl-basalt-competition