AL-377's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
exo-explore/exo
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
openai/swarm
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
e2b-dev/awesome-ai-agents
A list of AI autonomous agents
NVIDIA/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
mediar-ai/screenpipe
library & platform to build, distribute, monetize ai apps that have the full context (like rewind, granola, etc.), open source, 100% local, developer friendly. 24/7 screen, mic, keyboard recording and control
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
FMInference/FlexiGen
Running large language models on a single GPU for throughput-oriented scenarios.
anthropics/anthropic-quickstarts
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
sgl-project/sglang
SGLang is a fast serving framework for large language models and vision language models.
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
moby/swarmkit
A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.
THUDM/GLM-4-Voice
GLM-4-Voice | 端到端中英语音对话模型
atfortes/Awesome-LLM-Reasoning
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
learning-at-home/hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
GAIR-NLP/O1-Journey
O1 Replication Journey: A Strategic Progress Report – Part I
openreasoner/openr
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
openmedlab/Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
THUDM/ReST-MCTS
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)
yuce/pyswip
PySwip is a Python-Prolog interface that enables querying SWI-Prolog in your Python programs.
FMInference/H2O
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
Cranial-XIX/llm-pddl
aibasel/downward
The Fast Downward domain-independent classical planning system
teacherpeterpan/Logic-LLM
The project page for "LOGIC-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning"
bytedance/HLLM
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
1989Ryan/llm-mcts
[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.
yandex-research/swarm
Official code for "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient"
benlipkin/linc
🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]
MapRock/IntelligenceBusiness
Supplemental material for the book, The Intelligence of a Business, by Eugene Asahara.