基于 Tensorflow,仿 Scikit-Learn 设计的深度学习自然语言处理框架。支持 40 余种模型类,涵盖语言模型、文本分类、NER、MRC、知识蒸馏等各个领域
nlp deep-learning tensorflow mrc language-modeling transformer classification bert distillation gpu-training
-
Updated
May 10, 2023 - Python
#
gpu-training
Here are 25 public repositories matching this topic...
Language: All
Filter by language
Sort: Most stars
Sort options
Fine-Tuning Google's Vision Transformer LoRA technique. Two different LoRA adapters are tuned for separate classification (food and human actions). A simple Gradio interface is implemented to run the inference.
-
Updated
Jul 31, 2024 - Jupyter Notebook
Final project for the UPC Postgrau in Artificial Intelligence & Deep Learning, showcasing a SELF-DRIVING demo built around lane detection and object detection models. Integrates LaneNet (with ENet backbone and BDD100K transforms), a custom Mask R-CNN segmentation pipeline, and Faster R-CNN with ResNet50-FPN.
deep-learning faster-rcnn object-detection transfer-learning autonomous-driving lane-detection semantic-segmentation evaluation-metrics mask-rcnn lanenet bdd100k gpu-training self-driving-simulation
-
Updated
Mar 22, 2026 - Python
This repository features an image sharpening pipeline using Knowledge Distillation. A high-capacity Restormer acts as the teacher model, while a lightweight Mini-UNet is trained as the student to mimic its performance.
computer-vision deep-learning image-processing python3 ssim knowledge-distillation image-restoration model-compression motion-deblurring unet-pytorch vgg-loss training-pipeline div2k image-sharpening perceptual-loss gpu-training restormer real-time-inference
-
Updated
Oct 30, 2025 - Jupyter Notebook
AI-Farm is a distributed deep learning training framework that enables efficient model training across multiple machines. It provides a scalable infrastructure with real-time monitoring through a web admin panel, adaptive task distribution, and support for both CPU and GPU training.
python machine-learning deep-learning websockets pytorch distributed-training federated-learning gpu-training
-
Updated
Nov 14, 2024 - Python
A full-stack platform for designing reinforcement learning environments, running GPU-backed training, and monitoring agents in real-time.
-
Updated
Dec 21, 2025 - TypeScript
PyTorch implementation of DDPM (Denoising Diffusion Probabilistic Models) for image generation. Includes U-Net with attention, DDIM sampling, EMA training, and CelebA dataset support.
deep-learning pytorch image-generation attention-mechanism celeba generative-models diffusion-model denoising-diffusion gpu-training ddpm ddim
-
Updated
Feb 27, 2026 - Python
LoRA fine-tuning pipeline for LLMs with Ollama integration. Supports CPU/GPU training, distributed training with PyTorch DDP, and GGUF conversion.
-
Updated
Nov 13, 2025 - Python
Production-ready PyTorch framework for distributed deep learning training with Ray & Horovod backends. Optimized for computer vision and time series on Kubernetes clusters.
kubernetes machine-learning computer-vision deep-learning time-series distributed-computing inference pytorch high-performance-computing temporal-networks ray distributed-training horovod defect-detection mixed-precision mlops production-ml vision-transformer gpu-training scalable-ml
-
Updated
Dec 19, 2025 - Python
This repo documents my participation in the Kaggle red-teaming competition focused on probing OpenAI's newly released gpt-oss-20b model for previously undiscovered vulnerabilities and harmful behaviors. The goal is to identify, document, and report up to five distinct issues, contributing to the safety and alignment of open-source AI models.
-
Updated
Aug 18, 2025 - Jupyter Notebook
Web safety project that scans online content and helps identify harmful, offensive, or bullying messages directly in the browser.
javascript python nlp machine-learning deep-learning text-classification pytorch lstm browser-extension bert cyberbullying fastapi hate-speech-detection toxicity-detection gpu-training web-safety online-safety content-moderation-automation
-
Updated
May 12, 2026 - Python
MetaClaw fork: self-hosted GPU training (GRPO + LoRA + vLLM), per-agent skill isolation, multi-agent mode routing, training engine bug fixes. Train your AI agent on your own A100s. No cloud dependency.
reinforcement-learning multi-agent lora meta-learning peft fastapi gpu-training ai-agent llm vllm qwen grpo agent-isolation openclaw metaclaw skill-evolution per-agent-skills self-hosted-training
-
Updated
Apr 2, 2026 - Python
🚀 MegaTrain Chinese Guide | Train 120B LLM on a Single GPU | 单 GPU 训练 100B+ 大模型中文实战指南 — 硬件选购 · 快速上手 · 性能对比 · RAM-Centric Architecture
tutorial guide chinese ai-training deepspeed gpu-training llm large-language-model llm-training hardware-guide megatrain single-gpu-training ram-centric 100b-parameters
-
Updated
Apr 17, 2026
Data processing, Machine Learning codes and Training scripts on Jean Zay High Performance Computing (HPC) remote GPUs
-
Updated
Oct 11, 2025 - Python
Fine-Tuning Google's Vision Transformer LoRA technique. Two different LoRA adapters are tuned for Separate Classification (Food and Human actions). A simple Gradio interface is implemented to run the Inference.
-
Updated
Sep 28, 2024 - Jupyter Notebook
A reproducible sanity check showing unexpected weak-scaling behavior under data-parallel SPMD on NVIDIA A100 GPUs
-
Updated
Apr 23, 2026 - Dockerfile
Whatsapp Assistant using FastAPI, Google Gemini, WhisperAI, Twilio and Ngrok
-
Updated
Sep 28, 2024 - Python
Autonomous AI research agents for single-GPU nanochat training — automated experiment design, execution, and analysis
-
Updated
Mar 17, 2026 - Python
Developed an end-to-end LLM pipeline that extracts Python code from GitHub, builds a high-quality dataset, fine-tunes CodeGen, and performs advanced code generation with DeepSeek. Demonstrates strong capabilities in LLM training, data engineering, and model optimization.
python api machine-learning pytorch pygithub dataset-creation githubapi fine-tuning model-optimization huggingface-transformers gpu-training pythonautomation llm deepseek
-
Updated
Dec 8, 2025 - Python
Kaggle Competition for MAP Charting Student Math Mistunderstanding
python machine-learning ai transformers pytorch kaggle classification jupyter-notebooks gpu-training llm-training lora-fine-tuning
-
Updated
Oct 7, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the gpu-training topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gpu-training topic, visit your repo's landing page and select "manage topics."