The official GitHub page for the survey paper "A Survey of Large Language Models".
- chain-of-thought
- chatgpt
- in-context-learning
- instruction-tuning
Repository Index
47,133 repositories indexed
49–72 of 153 · Most stars
Low-code framework for building custom LLMs, neural networks, and other AI models
open source training courses about distributed database and distributed systems
- distributed-systems
- rust
- golang
- talent-plan
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
- cloud-computing
- deep-learning
- gpu
- hyperparameter-tuning
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
- object-detection
- open-world
- open-world-detection
- vision-language
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
TranslatedChinese version of the official Android training course
Training for Golang (go language)
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
- distributed-file-system
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
TranslatedPre-Training with Whole Word Masking for Chinese BERT (Chinese BERT-wwm series models)
- chinese-bert
- tensorflow
- pytorch
- bert
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Infrastructure for continually self‑improving agents
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A system for quickly generating training data with weak supervision
- machine-learning
- ai
- weak-supervision
- labeling
TranslatedMedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. Training medical large models, implementing incremental pre-training (PT), supervised fine-tuning (SFT), RLHF, DPO, ORPO, and GRPO.
A curated list of awesome infosec courses and training resources.
Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.