Low-code framework for building custom LLMs, neural networks, and other AI models
Repository Index
47,133 repositories indexed
25–48 of 76 · Most stars
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.
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
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.
Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
- captcha-recognition
- tensorflow-tutorials
- ocr
- tensorflow
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
A robust Python tool for text-based AI training and generation using GPT-2.
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
- interview-practice
- interview-test-task
- language-learning
- coding-interview
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
OpenMMLab Foundational Library for Training Deep Learning Models
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
- diffusion-models
- high-resolution
- sparse-attention
- video-generation