Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
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Jan 21, 2021 - Python
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cosine-annealing
Here are 17 public repositories matching this topic...
Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework
scheduler clr optimizer pytorch restarts triangular adamw cosine-annealing cyclical-learning-rate adamw-optimizer
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Jul 14, 2019 - Python
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
computer-vision deep-learning pytorch neural-networks hyperparameter-optimization imagenet nas hyperparameter-tuning learning-rate cifar10 sota neural-architecture-search hyperparameter-search state-of-the-art architecture-search cosine-annealing learning-rate-scheduling differentiable-hyperparamter-search cosine-power-annealing power-cosine-annealing
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Feb 7, 2021 - Python
SGDR: Stochastic Gradient Descent with Warm Restarts and Cosine Annealing learning rate schedule engine.
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Sep 10, 2026 - Python
SGDR: Stochastic Gradient Descent with Warm Restarts and Cosine Annealing learning rate schedule engine.
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Sep 10, 2026 - Python
End-to-end Image Classification using Deep Learning toolkit for custom image datasets. Features include Pre-Processing, Training with Multiple CNN Architectures and Statistical Inference Tools. Special utilities for RAM optimization, Learning Rate Scheduling, and Detailed Code Comments are included.
opencv deep-learning tensorflow image-processing statistical-analysis statistical-inference learn image-classification convolutional-neural-networks gradient-descent preprocessing vgg16 collaborate hacktoberfest resnet-50 inception-resnet-v2 cosine-annealing learning-rate-scheduling efficientnet
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Apr 4, 2026 - Jupyter Notebook
Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.
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Jan 12, 2023 - Jupyter Notebook
A comprehensive, research-driven collection of learning rate schedulers for PyTorch — 17 schedulers, composable warmup, opinionated presets, and first-class paper references.
python training machine-learning deep-learning optimization scheduler pytorch learning-rate warmup cosine-annealing lr-scheduler pytorch-scheduler
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Mar 24, 2026 - Python
self-used pytorch utilities
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Feb 26, 2020 - Python
Short-Term Wind Power Forecasting utilizing a Transformer model and a seasonally aware custom cosine annealing scheduler.
scheduler transformer forecasting-models seasonal-adjustment seasonality cosine-annealing transformer-architecture wind-energy-analytics transformer-models wind-power-forecasting seasonal-forecast
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Aug 23, 2025 - Jupyter Notebook
Framework-agnostic learning-rate schedules as pure functions, in Python with zero dependencies.
python training machine-learning deep-learning scheduler learning-rate warmup cosine-annealing sgdr one-cycle
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Jun 24, 2026 - Python
TinyYoloV2 imagenet 1K results.
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Mar 10, 2019 - Python
Add some useful functions based on AlexeyAB darknet
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May 20, 2020 - C
Minimal PyTorch implementation of cosine annealing with warm-up for super-convergence training schedules.
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Jun 5, 2022 - Python
REST API for classifying 100 object categories. VGG-style CNN in PyTorch (70% accuracy), FastAPI, trained from scratch without transfer learning. Inference < 100 ms.
python machine-learning computer-vision deep-learning rest-api cnn pytorch vgg image-classification label-smoothing cifar-100 uvicorn cosine-annealing fastapi
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Aug 26, 2026 - Jupyter Notebook
High-performance PyTorch LR schedulers with cosine annealing, flexible waypoints, plateau steps, and LR scaling. Unified API with pre-computed segments for zero runtime overhead.
training machine-learning deep-learning pytorch distributed-training cosine-annealing lr-scheduling learning-rate-scheduler waypoint-scheduler
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Oct 13, 2025 - Python
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