ksivaman's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
tensorflow/tfjs-examples
Examples built with TensorFlow.js
ml5js/ml5-library
Friendly machine learning for the web! 🤖
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
NVIDIA/TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
IBM/pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.
tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation
facebookresearch/ImageNet-Adversarial-Training
ImageNet classifier with state-of-the-art adversarial robustness
baidu-research/baidu-allreduce
deedy/Latex-Templates
A concise set of Latex templates that serves a small set of needs - CV, Essays, Articles and Problem Sets
jvanvugt/pytorch-unet
Tunable U-Net implementation in PyTorch
tensorpack/dataflow
Efficient Data Loading Pipeline in Pure Python
sakjain92/Fractional-GPUs
Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions
jeromerony/fast_adversarial
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
BardOfCodes/adv_summaries
Short Summaries for papers in Adversarial Attacks and Defenses. Linked to a related blog post:
ksivaman/adversarial-autoencoders
Sklearn compatible estimators for securing deep learning models from malicious attacks.
samiam14/cuda
Stanford CS 193 G Online Course
dyelax/NVIDIA_Challenge
Coding challenge implementation for my Spring 2017 NVIDIA deep learning internship.
ksivaman/super-res
An extension of perpetual losses for image-inpainting. (https://arxiv.org/pdf/1603.08155.pdf)
idosch/stanford-cs-193g-cuda
Solutions to Stanford's CS193G course on CUDA (https://code.google.com/p/stanford-cs193g-sp2010/)