jayaram-r

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

langroid

Harness LLMs with Multi-Agent Programming

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

stratified-adv-rej

Study adversarially-robust classification with rejection where rejection has cost monotonically non-increasing in the perturbation magnitude, and propose a novel defense method with strong performance.

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

flows_ood

flowgmm

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

awesome-normalizing-flows

Awesome resources on normalizing flows.

OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

TOHAN

Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".

self-training-ensembles

Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

tensorflow_constrained_optimization

advertorch

A Toolbox for Adversarial Robustness Research

shifts

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

confidence-calibrated-adversarial-training

Implementation of Confidence-Calibrated Adversarial Training (CCAT).

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Awesome-Self-Supervised-Papers

Paper bank for Self-Supervised Learning

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

spectrum_anomaly_detection

Source code and models of ACM MobiHoc 2019 paper "Scaling Deep Learning Models for Spectrum Anomaly Detection"

ngboost

Natural Gradient Boosting for Probabilistic Prediction

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation