Simple and efficient training framework for long-context models
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Jan 12, 2026 - Python
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training-framework
Here are 10 public repositories matching this topic...
A PyTorch framework that handles object detection across 6 different architectures (RetinaNet, Faster R-CNN, SSD, FCOS, and more). Takes care of the optimization setup and training quirks for each model.
python machine-learning computer-vision deep-learning pytorch neural-networks object-detection training-framework
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Nov 29, 2025 - Python
A comprehensive framework for fine-tuning OpenAI models with streamlined data preparation, training, and evaluation workflows
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Jun 12, 2025 - Python
A comprehensive framework for developing YOLO family models, featuring streamlined workflows for training, validation, testing, and deployment through easy-to-use config files, enabling flexible customization to suit various object detection tasks.
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Aug 18, 2025 - Python
ML training orchestration for the Crucible ecosystem. Distributed training, hyperparameter optimization, checkpointing, model versioning, metrics collection, early stopping, LR scheduling, gradient accumulation, and mixed precision training with Nx/Scholar integration.
machine-learning elixir phoenix research ai deep-learning metrics neural-networks hyperparameter-optimization gradient-descent nx model-training distributed-training scholar mlops ml-ops experiment-tracking training-framework nshkr-crucible checkpoint-management
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Jan 7, 2026 - Elixir
Fault-tolerant distributed training framework with async checkpointing for LLM's
machine-learning deep-learning fault-tolerance pytorch distributed-training mlops checkpointing training-framework elastic-scaling
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Jan 11, 2026 - Python
GEKO: Gradient-Efficient Knowledge Optimization, A plug and play training framework that makes LLM training 30-50% more efficient. Like LoRA revolutionized fine-tuning, GEKO revolutionizes training through intelligent sample selection with Mountain Curriculum and Q-Value Learning.
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Jan 8, 2026 - Python
A PyTorch framework for image classification covering 11 CNN architectures (ResNet, EfficientNet, MobileNet, etc.). Handles the optimization setup and training specifics for each model.
python machine-learning computer-vision deep-learning cnn pytorch neural-networks image-classification training-framework
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Nov 29, 2025 - Python
Library for config based Neural Network Training
neural-network regression pytorch classification tensorboard neural-network-framework hyperparameter-sweep wandb training-framework
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Jan 15, 2026 - Python
🚀 Accelerate ML training on the BEAM with CrucibleTrain's unified infrastructure for diverse model types and workflows.
elixir phoenix research ai deep-learning neural-networks hyperparameter-optimization gradient-descent nx model-training distributed-training scholar mlops ml-ops experiment-tracking training-framework nshkr-crucible checkpoint-management
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Jan 23, 2026 - Elixir
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