kristian-georgiev's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
helix-editor/helix
A post-modern modal text editor.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
magic-wormhole/magic-wormhole
get things from one computer to another, safely
mhinz/vim-galore
:mortar_board: All things Vim!
google-deepmind/alphafold
Open source code for AlphaFold.
openai/consistency_models
Official repo for consistency models.
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.
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
young-geng/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
inverse-scaling/prize
A prize for finding tasks that cause large language models to show inverse scaling
sanjeevanahilan/nanoChatGPT
A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
stanford-crfm/ecosystem-graphs
MadryLab/trak
A fast, effective data attribution method for neural networks in PyTorch
gcorso/particle-guidance
Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
KihoPark/linear_rep_geometry
MadryLab/dataset-interfaces
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
harshays/simplicitybiaspitfalls
The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
facebookresearch/BalancingGroups
Simple data balancing baselines for worst-group-accuracy benchmarks.
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
ethz-spylab/realistic-adv-examples
Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
EigenPro/EigenPro3
MadryLab/journey-TRAK
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
MadryLab/rethinking-backdoor-attacks
harshays/inputgradients
Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
eth-sri/Delta-Siege
vasusingla/low_curvature_activations