kckishan

kckishan's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.5k3883216.2k

• paperswithcode/ai-deadlines

  :alarm_clock: AI conference deadline countdowns

  Language:JavaScript5.7k9896993

• dipjul/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

  Grokking the Coding Interview: Patterns for Coding Questions Alternative

  2.6k227605

• weijie-chen/Linear-Algebra-With-Python

  Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

  Language:Jupyter Notebook2.3k801574

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k40122247

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k2824303

• yangkky/Machine-learning-for-proteins

  Listing of papers about machine learning for proteins.

  1.6k150182208

• yoshitomo-matsubara/torchdistill

  A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

  Language:Python1.4k2048131

• gpleiss/temperature_scaling

  A simple way to calibrate your neural network.

  Language:Python1.1k1035161

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6321022151

• joanbruna/MathsDL-spring18

  Topics course Mathematics of Deep Learning, NYU, Spring 18

  539520117

• wiseodd/probabilistic-models

  Collection of probabilistic models and inference algorithms

  Language:Python24116178

• giangtranml/ml-from-scratch

  All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

  Language:Jupyter Notebook213270123

• flyingdoog/PGExplainer

  Parameterized Explainer for Graph Neural Network

  Language:Jupyter Notebook12751415

• sharad461/nepali-translator

  Neural Machine Translation on the Nepali-English language pair

  Language:Python482517

• daiquocnguyen/Walk-Transformer

  From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

  Language:Python41216

• mia-workshop/MIA-Shared-Task-2022

  An official repository for MIA 2022 (NAACL 2022 Workshop) Shared Task on Cross-lingual Open-Retrieval Question Answering.

  Language:Python31174

• msobroza/SparsemaxPytorch

  SparseMax activation function implementation (ICML 2016) (PyTorch)

  Language:Python27216

• kckishan/knowledgegraph

  Knowlegde Graph Implementation in C++

  Language:C++13206

• antonFJohansson/Bayesian-Learning-of-Neural-Network-Architectures

  Language:Jupyter Notebook6104