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a-tour-of-pytorch-optimizers

A tour of different optimization algorithms in PyTorch.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

adalora

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

adversarylosslandscape

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]

ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

analyze_ada_hessian

Analyze AdaHessian optimizer on 2D functions.

apollo

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

average_squares

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

awesome-efficient-llm

A curated list for Efficient Large Language Models

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-llm-inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

cdcr-beyond-corpus-tailored

📄🕸️ Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora

ckd

coco

Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao: Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. WWW 2023.

coval

A coreference evaluation package for the CoNLL and ARRAU datasets

cuttlefish

The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

degrees-of-freedom

dldr

[TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces

dynamic_model_pruning_with_feedback

Implement of Dynamic Model Pruning with Feedback with pytorch

echo360

Commandline tool for automated downloads of echo360 videos hosted by university

eda-for-text-classification

使用EDA技术对小型的不均衡的数据集做增强，验证其效果提升

efficient-llms-survey

Efficient Large Language Models: A Survey