Ruchit Rawal

FD-Loss. Python

sphere-encoder. PyTorch Implementation of Image Generation with a Sphere Encoder

scalable-curvature. Code for Dayal Kalra's research internship on scalable curvature measures for neural networks.

retrofitting-recurrence. Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

rl-injector. Official release of code for the paper RL is a hammer and LLMs are nails A simple RL approach to stronger prompt injection attacks

DiffSynth-Studio. Enjoy the magic of Diffusion models!

morse-500. Jupyter Notebook

DML-OpenProblem. Python

AlexNet-Source-Code. This package contains the original 2012 AlexNet code.

video-dataset-scripts. Collection of scripts to build small-scale datasets for fine-tuning video generation models.

gaussian-splatting-pup. Python

speedy-splat. Python

PurpleLlama. Set of tools to assess and improve LLM security.

matklad.github.io. My coding related blog

Awesome-LVLM-Hallucination. up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources

Awesome-MLLM-Hallucination. 📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

colpali-cookbooks. Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

LLM101n. LLM101n: Let's build a Storyteller

Awesome-Interpretability-in-Large-Language-Models. This repository collects all relevant resources about interpretability in LLMs

outlines. Structured Outputs

diffusion-nlp-paper-arxiv. Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".

TextBrewer. A PyTorch-based knowledge distillation toolkit for natural language processing

DiT. Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

trak. A fast, effective data attribution method for neural networks in PyTorch

benchmark_VAE. Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

evals. Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Conditional_Diffusion_MNIST. Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

ChatGPT. Reverse engineered ChatGPT API

language. Shared repository for open-sourced projects from the Google AI Language team.

pretty-print-confusion-matrix. Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

llm-seminar. Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)

TAADpapers. Must-read Papers on Textual Adversarial Attack and Defense

tex-colorscheme. Seamlessly switch between color schemes in your LaTeX documents

ImageNet-Datasets-Downloader. ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

JaynesProbabilityTheory. Exercise solutions and explanations for the book Probability Theory: The Logic of Science by E.T. Jaynes. Created by the reading group at r/jaynesprobability

DECISION. Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

misc-courses.

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

contstimlang. Code and data for "Testing the limits of natural language models for predicting human language judgments"

home. my academic site and blog

generalization. PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST

Treasure-of-Transformers. 💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

pytorch-classification. Classification with PyTorch.

minicons. Utility for behavioral and representational analyses of Language Models

cmu-10717-the-art-of-the-paper. Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".

ZeroShotKnowledgeTransfer. Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

papers. Collection of papers in machine learning, deep learning and neuroscience

Deep_learning_fMRI_EEG. Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

awesome-computational-neuroscience. A list of schools and researchers in computational neuroscience

Adversarial-Misspellings. Python

advice. A repository of links with advice related to grad school applications, research, phd etc

Graduate-Admissions. Repository containing SoPs and other reference material for Graduate admission process.

neural-nlp. [PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

stat_rethinking_2022. Statistical Rethinking course winter 2022

CloserLookFewShot. source code to ICLR'19, 'A Closer Look at Few-shot Classification'

few-shot-baseline. Python

phd-master-application-docs. A collection of the application documents I used to apply to universities in the US.

webpage-template. Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

APMLA-WS_21-22_material. Jupyter Notebook

CDS. CDS: Cross-Domain Self-supervised Pre-training

cmu-10721-philosophy-machine-intelligence. Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".

RoCL. Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

adversarial_robustness_pytorch. Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

pre-training. Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Pytorch-Adversarial-Training-CIFAR. This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

Face_Pytorch. face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

Pytorch_Face_Recognition. Pytorch implementation of mainstream face recognition algorithms(ArcFace, CosFace).

InsightFace_Pytorch. Pytorch0.4.1 codes for InsightFace

arcface-pytorch. Python

adversarial-defenses-pytorch. PyTorch implementations of Adversarial defenses and utils.

interpretable-test. NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

CROWN-IBP. Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

m_testing_adversatial_sample. Shell

ml-cvpr2019-swd. Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.

face.evoLVe. 🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

paper-tips-and-tricks. Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

course-content. NMA Computational Neuroscience course

DANN. pytorch implementation of Domain-Adversarial Training of Neural Networks

mann. Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

awesome-domain-adaptation. A collection of AWESOME things about domain adaptation

Person_reID_baseline_pytorch. :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

CSML_notes. UCL MSc Computational Statistics and Machine Learning Revision Notes

www_personal. Personal Webpage

resnet-pytorch. Python

game-of-noise. Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

research-advice-list. A compilation of research advice.

machine-learning-interview. Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

pytorch-image-captioning. Python

pytorch. Some tools for pytorch

University-of-California-San-Diego-Big-Data-Specialization. Repository for the Big Data Specialization from University of California San Diego on Coursera

dl3d-seminar. Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

fitting-random-labels. Example code for the paper "Understanding deep learning requires rethinking generalization"

awesome-ml-courses. Awesome free machine learning and AI courses with video lectures.

CV-pretrained-model. A collection of computer vision pre-trained models.

detr. End-to-End Object Detection with Transformers

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

taskonomy. Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

pangeo-example-notebooks. Pangeo Example Notebooks

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

vess2ret. A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.

GAN-MRI. Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

stat453-deep-learning-ss20. STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

over9000. Over9000 optimizer

ganhacks. starter from "How to Train a GAN?" at NIPS2016

notes. Course notes

AdversarialNetsPapers. Awesome paper list with code about generative adversarial nets

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

Generative-Adverserial-Netowrk-presentation. This repository contains code and slides for the presentation I gave at Atlanta Deep Learning meet-up. We coded the GAN with participants after the presentation.

the-gan-zoo. A list of all named GANs!

class-balanced-loss. Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

LDAM-DRW. [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

HandsOnDeepLearningWithPytorch. Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch

tfrecord_lite. Make TFRecord Usable Again

MesoNet. "MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

shared_task. Code for the 2015 Shared Task

squeezenet-keras. SqueezeNet Keras demo

depression-detect. Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Pytorch-In-Real-Life. Contains real-life example that can be solved by pytorch

Research-Internships-for-Undergraduates. Research internships + summer programs for undergraduate students worldwide (NASA, CERN, Max Planck, +100 more)

reu. List: Research Experience for Undergrads

awesome-computer-vision-models. A list of popular deep learning models related to classification, segmentation and detection problems

Awesome-Fools. :skull: A collection of methods to fool the deep neural network :skull:

synthesizing-robust-adversarial-examples. My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

robust-physical-attack. Physical adversarial attack for fooling the Faster R-CNN object detector

awesome-adversarial-examples-dl. A curated list of awesome resources for adversarial examples in deep learning

awesome-adversarial-machine-learning. A curated list of awesome adversarial machine learning resources

really-awesome-gan. A list of papers on Generative Adversarial (Neural) Networks

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

VGGFace2-pytorch. PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

facenet-pytorch. Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

facenet. FaceNet for face recognition using pytorch

pytorch-cnn-visualizations. Pytorch implementation of convolutional neural network visualization techniques

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

TemporalConvolutionalNetworks. Python

pytudes. Python programs, usually short, of considerable difficulty, to perfect particular skills.

papers. A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is implemented

social-media-analyser. A project for IOSD Summer of Code 2019, an application used to find the trends about companies and products using analysis

learn-em-all. A project of IOSD Summer of Code 2019, a machine learning framework (python library) with basic support for ML algorithms

cs231n.github.io. Public facing notes page

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

GeneticAlgorithmsWithPython. source code from the book Genetic Algorithms with Python by Clinton Sheppard

lectures. Oxford Deep NLP 2017 course

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

biomedia-2019. ACM-Grand-Challenge-2019-Biomedia

awesome-computer-vision. A curated list of awesome computer vision resources

awesome-deep-vision. A curated list of deep learning resources for computer vision

peterroelants.github.io. Blog

matplotlib-tutorial. Matplotlib tutorial for beginner

my-experiments-with-ml. deep learning

Competitve-Programming. Competitive programming in cpp

nn-from-scratch. Implementing a Neural Network from Scratch

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

deep-reinforcement-learning. Repo for the Deep Reinforcement Learning Nanodegree program

competitive-programming. competitive programming questions