Cifar10 Python Packages

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

efficient-polling-lr-scheduler

This repository replicates the Polling Method of Tan et al. on CIFAR-10 and introduces Efficient Polling, a novel extension that recovers the same learning-rate schedule — and almost the same accuracy — while polling only 5% of batches, cutting optimizer steps by 75% and per-epoch wall-clock time by 3.3×.

cifar10-tools

Demonstration of the CIFAR-10 deeplearning task with PyTorch and TensorFlow

bsconv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

image-classification-tools

Demonstration of the CIFAR-10 deeplearning task with PyTorch and TensorFlow

ewe-gate

Epistemic Weight Engine (EWE) — A pre-update gating mechanism for signal-reliability-weighted learning in AI systems. ACM TIST 2026.

nbdt

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

naszilla

Naszilla is a Python library for neural architecture search (NAS)

aognet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"