martinmamql's Stars
meta-llama/llama
Inference code for Llama models
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
facebookresearch/deit
Official DeiT repository
sanghyun-son/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
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.
pliang279/awesome-phd-advice
Collection of advice for prospective and current PhD students
vacancy/Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
cvdfoundation/kinetics-dataset
facebookresearch/SLIP
Code release for SLIP Self-supervision meets Language-Image Pre-training
karpathy/lecun1989-repro
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
luogen1996/LaVIN
[NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
ayaka14732/tpu-starter
Everything you want to know about Google Cloud TPU
y0ast/Variational-Autoencoder
Implementation of a Variational Auto-Encoder in Theano
tfjgeorge/nngeometry
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
AnanyaKumar/transfer_learning
Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learning)
Timothyxxx/WorldModelPapers
Paper collections of the continuous effort start from World Models.
loeweX/Forward-Forward
Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm
NACLab/ngc-learn
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
young-geng/m3ae_public
Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation
yookoon/VLAE
Code for Variational Laplace Autoencoders
FrederikWarburg/LaplaceAE
ArminBaz/UTK-Face
PyTorch Implementation of a Multi-Output Neural Network on the UTK Face Dataset to predict a person's age (range), ethnicity, and gender.
abwilf/tutorials
Some tutorials I've created for myself and my collaborators
ronghanghu/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
sushil-khyalia/LaVIN
[NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
abwilf/Non-Standard-Grid
Large scale, generalized grid searching on a cluster