hitum-dev

hitum-dev's Stars

• huseyinatahaninan/Differentially-Private-Fine-tuning-of-Language-Models

  Language:Python5813

• yKvD89Sri8/Awesome-LLM-Uncertainty-Reliability-Robustness

  Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

  1

• safr-ai-lab/survey-llm

  A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code

  Language:Python568

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  16.3k1.3k

• hitum-dev/llmprivacy

  1

• TUM-LIS/tum-dissertation-latex

  Latex template for a TUM dissertation/PhD thesis

  Language:TeX9346

• bigcode-project/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python36449

• Lightning-AI/lit-llama

  Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  Language:Python5.9k507

• hitum-dev/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  1

• ThuCCSLab/Awesome-LM-SSP

  A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

  59437

• stanford-crfm/helm

  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

  Language:Python1.8k238

• davidbau/baukit

  Language:Python15210

• yKvD89Sri8/honest_llama

  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

  1

• likenneth/honest_llama

  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

  Language:Python39731

• stefantruehl/research-proposal-template

  LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)

  Language:TeX11061

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.1k294

• google-research/lm-extraction-benchmark

  Language:Python26319

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.5k907

• shanglianlm0525/PyTorch-Networks

  Pytorch implementation of cnn network

  Language:Python1.9k486

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python130k25.7k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  25.1k2.3k

• kam1107/RealnessGAN

  Code for ICLR2020 paper 'Real or Not Real, that is the Question'

  Language:Python28639

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python849146

• demuxin/pytorch_tricks

  some tircks for PyTorch

  57888

• dm-medvedev/EfficientDistillation

  Language:Python62

• aliprf/KD-Loss

  Facial Landmark Detection Using Knowledge Distillation-Based Neural Networks

  Language:Python326

• facebookresearch/dp_compression

  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".

  Language:Python143

• facebookarchive/adversarial_image_defenses

  Countering Adversarial Image using Input Transformations.

  Language:Python48775

• VICO-UoE/DatasetCondensation

  Dataset Condensation (ICLR21 and ICML21)

  Language:Python45890

• ondrejbohdal/label-distillation

  Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”

  Language:Python419