caglaacun

caglaacun's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.9k8664609.3k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.2k92161.1k

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.7k2802.6k2.2k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.5k1112003.1k

• IntelLabs/distiller

  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

  Language:Jupyter Notebook4.3k132350799

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.2k575740

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.1k968659

• openai/gpt-2-output-dataset

  Dataset of GPT-2 outputs for research in detection, biases, and more

  Language:Python1.9k7447550

• techleadhd/chatgpt-retrieval

  Language:Python1.7k3048802

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k3164324

• ycjuan/kaggle-2014-criteo

  Language:C++1.3k850625

• rixwew/pytorch-fm

  Factorization Machine models in PyTorch

  Language:Python1k1638225

• piEsposito/blitz-bayesian-deep-learning

  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

  Language:Python9281573105

• SupeRuier/awesome-active-learning

  Everything you need about Active Learning (AL).

  78811275

• Harry24k/bayesian-neural-network-pytorch

  PyTorch implementation of bayesian neural network [torchbnn]

  Language:Python482111474

• amitsangani/Llama

  All the projects related to Llama

  Language:Jupyter Notebook36210269

• Lightning-AI/dl-fundamentals

  Deep Learning Fundamentals -- Code material and exercises

  Language:Jupyter Notebook3371420159

• bl0/negative-margin.few-shot

  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

  Language:Python145101417

• hunto/DiffKD

  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023

  73895

• Henrygwb/Explaining-DL

  Language:Python553317

• yahoo/FmFM

  Language:Python392213

• marvinbuss/ExplainableML-Vision

  This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

  Language:Jupyter Notebook28235

• jupidity/pr2-perception-pick-and-place

  An RGBD perception pipeline for object recognition with the PR2 robot using ROS, PCL, and SVM in Gazebo simulation

  Language:C++222110

• yjhuangcd/local-lipschitz

  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).

  Language:Python22324

• ErikEnglesson/GJS

  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org/abs/2105.04522)

  Language:Python21121

• neural-dialogue-metrics/EmbeddingBased

  Embedding-based evaluation metrics for dialogue generation.

  Language:Python16221

• GDPlumb/ExpO

  Explanation Optimization

  Language:Jupyter Notebook13302

• guanghelee/iclr19-robust-locally-linear-nets

  "Towards Robust, Locally Linear Deep Networks" (ICLR 2019)

  Language:Python10105

• blazecolby/PyTorch-LIME

  PyTorch - L.I.M.E ( Feature attribution for deep learning models )

  Language:Jupyter Notebook5302

• OliverMD/mpev

  Framework for exploring multiple population coevolution

  Language:C++1110