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 17 public repositories matching this topic...
Repo of CACL framework for bot detection
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Jul 1, 2025 - Python
Serious calibration and benchmarking for the `state_collapser` HRL package
benchmarking machine-learning reinforcement-learning ai calibration robotframework counterpoint contraction-hierarchies-algorithm contraction-hierarchies hierachical-reinforcement-learning training-framework constrained-system
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Jun 26, 2026 - Python
A showcase repository documenting the complete journey of building a Transformer and Neural Machine Translation framework in pure C—from tensor operations to automatic differentiation, training infrastructure, and end-to-end machine translation.
machine-learning deep-learning machine-translation transformers autograd neural-networks pure-c from-scratch software-architecture transformer-from-scratch training-framework
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Jul 21, 2026 - Mermaid
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
Pure C training framework featuring a modular Trainer, DataLoader, SGD/Adam optimizers, learning-rate scheduling, callbacks, evaluation metrics, checkpointing, and end-to-end model training built from scratch.
c machine-learning deep-learning transformers optimizer sgd neural-networks dataloader gradient-descent pure-c callbacks adam checkpointing machine-learning-framework training-framework
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Jul 20, 2026 - C
Intelligent training framework that automatically skips mastered samples and gives 5× more compute to hard ones. Up to 80% compute savings on LLM fine-tuning.
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Jul 15, 2026 - Python
Tensorless is an open-source Python ML framework that automates the complex parts of model training — from data preparation and model selection to hardware detection, checkpointing, and inference. Just provide your data and let Tensorless handle the rest.
python open-source machine-learning automation ai deep-learning neural-network hyperparameter-optimization data-processing open-source-project fine-tuning gpu-optimization training-pipeline model-optimization ai-tools model-training-and-evaluation training-framework tensorless
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Aug 24, 2026 - Python
Neural Machine Translation system featuring tokenization, vocabularies, Transformer training, greedy decoding, BLEU evaluation, and CLI inference built entirely from scratch.
c nlp machine-learning natural-language-processing deep-learning machine-translation transformers autograd neural-machine-translation sequence-to-sequence pure-c tokenization bleu greedy-decoding training-framework
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Jul 21, 2026 - C
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
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
A Toy Framework for Model Training
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Jun 30, 2026 - Python
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
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
Zero-RAM, JAX-Centric Dataloading, Streaming, and Asynchronous Checkpointing Toolkit
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Jul 21, 2026 - Python
PyTorch training framework with AMP, checkpointing, TensorBoard, profiling, and modular experiment pipelines.
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Apr 23, 2026 - 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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Jul 16, 2026 - Elixir
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