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achaiah's Projects

autoaugment icon autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

bananas icon bananas

Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858

binseg_pytoch icon binseg_pytoch

Implementation of several state of the art methods for Binary Segmentation in PyTorch

boxx icon boxx

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clearml icon clearml

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

clearml-agent icon clearml-agent

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

digits icon digits

Deep Learning GPU Training System

drn icon drn

Dilated Residual Networks

enfomi icon enfomi

Java encryption library that produces self-decrypting jar files

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gulpio icon gulpio

Binary storage format for deep learning on videos.

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imgclsmob icon imgclsmob

Sandbox for training convolutional networks for computer vision

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